[go: up one dir, main page]

CN118731621A - A semiconductor device aging test method, system and medium - Google Patents

A semiconductor device aging test method, system and medium Download PDF

Info

Publication number
CN118731621A
CN118731621A CN202410767035.1A CN202410767035A CN118731621A CN 118731621 A CN118731621 A CN 118731621A CN 202410767035 A CN202410767035 A CN 202410767035A CN 118731621 A CN118731621 A CN 118731621A
Authority
CN
China
Prior art keywords
information
semiconductor device
aging test
test
semiconductor
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202410767035.1A
Other languages
Chinese (zh)
Inventor
纪健超
成淑敏
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Xi'an Hangke Chuangxing Electronic Technology Co ltd
Original Assignee
Xi'an Hangke Chuangxing Electronic Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Xi'an Hangke Chuangxing Electronic Technology Co ltd filed Critical Xi'an Hangke Chuangxing Electronic Technology Co ltd
Priority to CN202410767035.1A priority Critical patent/CN118731621A/en
Publication of CN118731621A publication Critical patent/CN118731621A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/26Testing of individual semiconductor devices
    • G01R31/2601Apparatus or methods therefor
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/26Testing of individual semiconductor devices
    • G01R31/2642Testing semiconductor operation lifetime or reliability, e.g. by accelerated life tests
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/02Reliability analysis or reliability optimisation; Failure analysis, e.g. worst case scenario performance, failure mode and effects analysis [FMEA]
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/04Ageing analysis or optimisation against ageing

Landscapes

  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Hardware Design (AREA)
  • Evolutionary Computation (AREA)
  • Geometry (AREA)
  • General Engineering & Computer Science (AREA)
  • Testing Of Individual Semiconductor Devices (AREA)
  • Testing Or Measuring Of Semiconductors Or The Like (AREA)

Abstract

The embodiment of the application provides a semiconductor device aging test method, a system and a medium, wherein the method comprises the following steps: analyzing standard parameters of the semiconductor device based on the use scene of the semiconductor device to obtain standard parameter information; constructing an aging test environment to obtain aging test information and acquiring real-time state information of semiconductor devices of different time nodes; comparing the real-time state information of the semiconductor devices of adjacent time nodes to obtain a state deviation rate, and judging whether the state deviation rate is larger than or equal to a set state deviation rate threshold value; if the service life of the semiconductor is greater than or equal to the service life attenuation information, predicting the service life of the semiconductor according to the service life attenuation information; and if the aging test information is smaller than the preset threshold value, the aging test information is adjusted to perform accelerated aging test on the semiconductor to obtain aging test data, the aging test with different parameters is performed on the semiconductor device by constructing different aging test environments, and the life attenuation is predicted according to the fluctuation information in the test process, so that the aging test result is obtained.

Description

Semiconductor device aging test method, system and medium
Technical Field
The application relates to the technical field of semiconductor device burn-in test, in particular to a semiconductor device burn-in test method, a semiconductor device burn-in test system and a semiconductor device burn-in test medium.
Background
As the integration of semiconductor devices increases rapidly, the size of the semiconductor devices decreases and the failure rate of each unit of the semiconductor devices increases proportionally. In order to ensure the reliability of the semiconductor device, it is necessary to detect defective cells at the beginning. One of the most common methods of detecting defective cells is burn-in. The burn-in test is a process of performing a corresponding condition-enhanced experiment on the product under the condition that various factors involved in the actual use condition of the product are simulated, and is generally used for detecting relevant parameters of a semiconductor device by adopting extreme conditions in the semiconductor field until the parameters of the semiconductor device are abnormal, wherein the extreme conditions are high temperature, high pressure, high humidity or the like. The aging test in the prior art cannot construct different aging test environments, can only perform single parameter test, cannot analyze linkage interference among different test states, and affects test precision; in view of the above problems, an effective technical solution is currently needed.
Disclosure of Invention
The embodiment of the application aims to provide a semiconductor device aging test method, a system and a medium, which are used for carrying out aging tests of different parameters on a semiconductor device by constructing different aging test environments so as to analyze the aging test state of the semiconductor device and predict service life attenuation according to fluctuation information in the test process so as to obtain an aging test result.
The embodiment of the application also provides a semiconductor device aging test method, which comprises the following steps:
S101, analyzing standard parameters of a semiconductor device based on the use scene of the semiconductor device to obtain standard parameter information;
S102, constructing an aging test environment according to standard parameter information to obtain aging test information, performing aging test on the semiconductor device according to the aging test information, and obtaining real-time state information of the semiconductor device of different time nodes;
s103, comparing the real-time state information of the semiconductor devices of adjacent time nodes to obtain a state deviation rate, and judging whether the state deviation rate is larger than or equal to a set state deviation rate threshold value;
S104, if the service life of the semiconductor device is greater than or equal to the service life of the semiconductor device, generating fluctuation information of the semiconductor device, analyzing service life attenuation information of the semiconductor device according to the fluctuation information, and predicting the service life of the semiconductor device according to the service life attenuation information;
And S105, if the data is smaller than the reference data, generating correction information, adjusting ageing test parameters according to the correction information, performing accelerated ageing test on the semiconductor according to the ageing test parameters, obtaining ageing test data, and transmitting the ageing test data to the terminal in real time.
Optionally, in the burn-in test method for a semiconductor device according to the embodiment of the present application, standard parameters of the semiconductor device are analyzed based on a usage scenario of the semiconductor device, and standard parameter information is obtained, including:
S201, acquiring a use scene of a semiconductor device, and generating scene loss information according to the use scene of the semiconductor;
s202, acquiring current state information of a semiconductor device, carrying out loss acceleration information on the current state information according to scene loss information, and correcting the current state information according to the loss acceleration information to obtain correction information;
s203, optimizing parameter information of the semiconductor device according to the correction information to generate an optimization coefficient;
S204, multiplying the optimization coefficient by the parameter information of the semiconductor device to obtain standard parameter information.
Optionally, in the method for burn-in testing a semiconductor device according to the embodiment of the present application, a burn-in test environment is constructed according to standard parameter information to obtain burn-in test information, and the burn-in test is performed on the semiconductor device according to the burn-in test information, including:
S301, standard parameter information of a semiconductor device is obtained, and an aging test environment is constructed according to the standard parameter information of the semiconductor device;
s302, inputting the aging test environment into a test model to output a test strategy, and testing the semiconductor device according to the test strategy to obtain aging test information;
s303, analyzing the aging test temperatures of different time nodes according to the aging test information, and comparing the aging test temperatures of adjacent time nodes to obtain a temperature deviation rate;
s304, judging whether the temperature deviation rate is larger than or equal to a set temperature deviation rate threshold value;
S305, if the temperature is greater than or equal to the temperature, analyzing the heat transmission state according to the temperature of the semiconductor device; and if the data is smaller than the predetermined value, generating test data of the semiconductor device, and transmitting the test data to the terminal.
Optionally, in the method for testing semiconductor device burn-in according to the embodiment of the present application, if the information is greater than or equal to the information, generating fluctuation information of the semiconductor device, analyzing life attenuation information of the semiconductor device according to the fluctuation information, and predicting the life of the semiconductor device according to the life attenuation information, including:
Acquiring real-time state information of the semiconductor devices of the adjacent time nodes, analyzing state jump information according to the real-time state information of the semiconductor devices of the adjacent time nodes, and generating state fluctuation information according to the state jump information;
comparing the state fluctuation information with the set fluctuation information to obtain a fluctuation deviation rate;
Judging whether the fluctuation deviation rate is larger than a set fluctuation deviation rate threshold value or not;
if the time is greater than the preset time, judging that the semiconductor device fails, and recording the failure time;
if the current state information is smaller than the current state information, the service life of the semiconductor device is predicted according to the current state information.
Optionally, in the method for burn-in testing a semiconductor device according to the embodiment of the present application, a burn-in test environment is constructed according to standard parameter information to obtain burn-in test information, and the burn-in test is performed on the semiconductor device according to the burn-in test information, including:
obtaining standard parameter information of a semiconductor device to construct an aging test environment, wherein the aging test environment comprises a current test and a temperature test;
Constructing a relation curve of current and time according to an aging test environment, and generating curve parameters;
performing current test on the semiconductor device according to a relation curve of current and time and a set time to obtain the running current of the semiconductor device;
Obtaining threshold current according to standard parameter information of the semiconductor device;
comparing the operation current of the semiconductor device with a threshold current, and judging whether the threshold current is larger than the operation current of the semiconductor device;
if the current is greater than the preset threshold value, inputting different currents according to the relation curve to test the semiconductor device;
if the current is smaller than the threshold current, screening out curve points exceeding the threshold current on the relation curve, fitting the curve points to a new relation curve, and optimizing curve parameters.
Optionally, in the method for testing semiconductor device burn-in according to the embodiment of the present application, a burn-in environment is constructed according to standard parameter information to obtain burn-in information, and the method further includes:
constructing a current test environment and a voltage test environment according to standard parameter information of the semiconductor device;
performing continuous current impact on the semiconductor device according to the current testing environment to obtain current testing time, and detecting the running temperature of the semiconductor device to obtain a first testing temperature;
continuously pressurizing and impacting the semiconductor device according to the voltage testing environment to obtain voltage testing time, and detecting the running temperature of the semiconductor device to obtain a second testing temperature;
setting a first coefficient according to the current test time and setting a second coefficient according to the voltage test time;
And the first coefficient and the second coefficient are multiplied by the first test temperature and the second test temperature respectively to carry out adjustment and optimization, so that the linkage test temperature is obtained.
In a second aspect, an embodiment of the present application provides a semiconductor device burn-in system, including: the memory comprises a program of a semiconductor device burn-in test method, and the program of the semiconductor device burn-in test method realizes the following steps when being executed by the processor:
Analyzing standard parameters of the semiconductor device based on the use scene of the semiconductor device to obtain standard parameter information;
Constructing an aging test environment according to the standard parameter information to obtain aging test information, performing aging test on the semiconductor device according to the aging test information, and obtaining real-time state information of the semiconductor device of different time nodes;
comparing the real-time state information of the semiconductor devices of adjacent time nodes to obtain a state deviation rate, and judging whether the state deviation rate is larger than or equal to a set state deviation rate threshold value;
If the service life of the semiconductor device is greater than or equal to the service life of the semiconductor device, generating fluctuation information of the semiconductor device, analyzing service life attenuation information of the semiconductor device according to the fluctuation information, and predicting the service life of the semiconductor device according to the service life attenuation information;
If the data is smaller than the threshold value, generating correction information, adjusting ageing test parameters according to the correction information, performing accelerated ageing test on the semiconductor according to the ageing test parameters, obtaining ageing test data, and transmitting the ageing test data to the terminal in real time.
Optionally, in the burn-in test system for a semiconductor device according to the embodiment of the present application, standard parameters of the semiconductor device are analyzed based on a usage scenario of the semiconductor device, and standard parameter information is obtained, including:
Acquiring a use scene of the semiconductor device, and generating scene loss information according to the use scene of the semiconductor;
Acquiring current state information of the semiconductor device, carrying out loss acceleration information on the current state information according to scene loss information, and correcting the current state information according to the loss acceleration information to obtain correction information;
Optimizing parameter information of the semiconductor device according to the correction information to generate an optimization coefficient;
and multiplying the optimization coefficient by the parameter information of the semiconductor device to obtain standard parameter information.
Optionally, in the burn-in test system for a semiconductor device according to the embodiment of the present application, a burn-in test environment is constructed according to standard parameter information to obtain burn-in test information, and the burn-in test is performed on the semiconductor device according to the burn-in test information, including:
Standard parameter information of the semiconductor device is obtained, and an aging test environment is constructed according to the standard parameter information of the semiconductor device;
inputting the aging test environment into a test model and outputting a test strategy;
testing the semiconductor device according to the testing strategy to obtain burn-in test information;
According to the aging test information, analyzing the aging test temperatures of different time nodes, and comparing the aging test temperatures of adjacent time nodes to obtain a temperature deviation rate;
judging whether the temperature deviation rate is larger than or equal to a set temperature deviation rate threshold value;
If the temperature is greater than or equal to the temperature, analyzing the heat transmission state according to the temperature of the semiconductor device;
And if the data is smaller than the predetermined value, generating test data of the semiconductor device, and transmitting the test data to the terminal.
In a third aspect, an embodiment of the present application further provides a computer readable storage medium, where a semiconductor device burn-in test method program is included, where the semiconductor device burn-in test method program, when executed by a processor, implements the steps of the semiconductor device burn-in test method according to any one of the above.
As can be seen from the above, according to the method, the system and the medium for testing semiconductor device burn-in provided by the embodiments of the present application, standard parameter information is obtained by analyzing standard parameters of a semiconductor device based on the usage scenario of the semiconductor device; constructing an aging test environment according to the standard parameter information to obtain aging test information, performing aging test on the semiconductor device according to the aging test information, and obtaining real-time state information of the semiconductor device of different time nodes; comparing the real-time state information of the semiconductor devices of adjacent time nodes to obtain a state deviation rate, and judging whether the state deviation rate is larger than or equal to a set state deviation rate threshold value; if the service life of the semiconductor device is greater than or equal to the service life of the semiconductor device, generating fluctuation information of the semiconductor device, analyzing service life attenuation information of the semiconductor device according to the fluctuation information, and predicting the service life of the semiconductor device according to the service life attenuation information; if the parameter is smaller than the preset threshold value, generating correction information, adjusting ageing test parameters according to the correction information, performing accelerated ageing test on the semiconductor according to the ageing test parameters, obtaining ageing test data, transmitting the ageing test data to a terminal in real time, performing ageing tests of different parameters on the semiconductor device by constructing different ageing test environments, analyzing the ageing test state of the semiconductor device, and predicting service life attenuation according to fluctuation information in the test process, thereby obtaining an ageing test result.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and should not be considered as limiting the scope, and other related drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a semiconductor device burn-in test method according to an embodiment of the present application;
Fig. 2 is a flowchart of obtaining semiconductor device standard parameter information of a semiconductor device burn-in test method according to an embodiment of the present application;
Fig. 3 is a flow chart of temperature analysis in the burn-in test process of a semiconductor device according to the burn-in test method of a semiconductor device according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. The components of the embodiments of the present application generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the application, as presented in the figures, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be made by a person skilled in the art without making any inventive effort, are intended to be within the scope of the present application.
It should be noted that like reference numerals and letters refer to like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only to distinguish the description, and are not to be construed as indicating or implying relative importance.
Referring to fig. 1, fig. 1 is a flowchart illustrating a method for burn-in testing a semiconductor device according to some embodiments of the application. The semiconductor device burn-in test method is used in terminal equipment and comprises the following steps:
s101, analyzing standard parameters of the semiconductor device based on the use scene of the semiconductor device to obtain standard parameter information;
S102, constructing an aging test environment according to standard parameter information to obtain aging test information, performing aging test on the semiconductor device according to the aging test information, and obtaining real-time state information of the semiconductor device of different time nodes;
S103, comparing the real-time state information of the semiconductor devices of the adjacent time nodes to obtain a state deviation rate, and judging whether the state deviation rate is larger than or equal to a set state deviation rate threshold value;
s104, if the service life of the semiconductor device is greater than or equal to the service life of the semiconductor device, generating fluctuation information of the semiconductor device, analyzing service life attenuation information of the semiconductor device according to the fluctuation information, and predicting the service life of the semiconductor device according to the service life attenuation information;
and S105, if the data is smaller than the reference data, generating correction information, adjusting ageing test parameters according to the correction information, performing accelerated ageing test on the semiconductor according to the ageing test parameters, obtaining ageing test data, and transmitting the ageing test data to the terminal in real time.
It should be noted that, through constructing different ageing test environments and carrying out ageing test on the semiconductor device, in the test process, real-time state change of the semiconductor is analyzed, fluctuation information is obtained through a set state deviation rate threshold value, each time fluctuation information is generated to represent an ageing node, thereby generating attenuation signals influencing the service life of the semiconductor device, and life attenuation information is obtained, so that the service life of the semiconductor device is accurately predicted, the ageing test precision is improved, in addition, the ageing test parameters are continuously adjusted to carry out high-speed ageing on the semiconductor device, and the ageing test time is shortened.
Referring to fig. 2, fig. 2 is a flow chart of obtaining semiconductor device standard parameter information of a semiconductor device burn-in test method according to some embodiments of the application. According to the embodiment of the application, standard parameters of the semiconductor device are analyzed based on the use scene of the semiconductor device, and standard parameter information is obtained, which comprises the following specific steps:
S201, acquiring a use scene of a semiconductor device, and generating scene loss information according to the use scene of the semiconductor device;
S202, acquiring current state information of a semiconductor device, carrying out loss acceleration information on the current state information according to scene loss information, and correcting the current state information according to the loss acceleration information to obtain correction information;
S203, optimizing parameter information of the semiconductor device according to the correction information to generate an optimization coefficient;
S204, multiplying the optimization coefficient by the parameter information of the semiconductor device to obtain standard parameter information.
It should be noted that, different usage scenarios may generate corresponding scenario damage to the semiconductor device, and in the process of calculating the standard parameter of the semiconductor device, the status of the semiconductor device needs to be corrected by the scenario loss information in consideration of the scenario loss of the usage scenario, so that the obtained standard parameter information has higher precision.
Referring to fig. 3, fig. 3 is a flow chart illustrating a temperature analysis during a burn-in test of a semiconductor device according to a burn-in test method of a semiconductor device according to some embodiments of the present application. According to the embodiment of the application, an aging test environment is constructed according to standard parameter information to obtain aging test information, and the aging test is carried out on the semiconductor device according to the aging test information, which comprises the following steps:
S301, standard parameter information of a semiconductor device is obtained, and an aging test environment is constructed according to the standard parameter information of the semiconductor device;
s302, inputting the aging test environment into a test model to output a test strategy, and testing the semiconductor device according to the test strategy to obtain aging test information;
S303, analyzing the aging test temperatures of different time nodes according to the aging test information, and comparing the aging test temperatures of adjacent time nodes to obtain a temperature deviation rate;
s304, judging whether the temperature deviation rate is larger than or equal to a set temperature deviation rate threshold value;
S305, if the temperature is greater than or equal to the temperature, analyzing the heat transmission state according to the temperature of the semiconductor device; and if the data is smaller than the predetermined value, generating test data of the semiconductor device, and transmitting the test data to the terminal.
It should be noted that, by constructing a test model to output a test strategy matched with a test environment, different aging test information is generated for different semiconductor devices, and in the aging test process, heat generated by temperature is obtained by analyzing aging test temperatures at different times, and the influence of the temperature on the semiconductor aging test is obtained by analyzing heat transmission states.
According to an embodiment of the present invention, if the lifetime attenuation information is greater than or equal to the lifetime attenuation information, the lifetime of the semiconductor device is predicted by generating the fluctuation information of the semiconductor device, analyzing the lifetime attenuation information of the semiconductor device according to the fluctuation information, and specifically including:
Acquiring real-time state information of the semiconductor devices of the adjacent time nodes, analyzing state jump information according to the real-time state information of the semiconductor devices of the adjacent time nodes, and generating state fluctuation information according to the state jump information;
comparing the state fluctuation information with the set fluctuation information to obtain a fluctuation deviation rate;
judging whether the fluctuation deviation rate is larger than a set fluctuation deviation rate threshold value or not;
if the time is greater than the preset time, judging that the semiconductor device fails, and recording the failure time;
if the current state information is smaller than the current state information, the service life of the semiconductor device is predicted according to the current state information.
By analyzing the real-time state information of the adjacent time nodes, when the state difference is large, the state jump information is generated to obtain the state fluctuation information, the state fluctuation information can be understood as that the state of the semiconductor device is suddenly changed when the current time node is transited to the next time node, the failure of the semiconductor device occurs at the moment, and the failure time is recorded, so that the failure time is analyzed to be short failure or permanent failure, and the service life of the semiconductor device is accurately analyzed.
According to the embodiment of the invention, an aging test environment is constructed according to standard parameter information to obtain aging test information, and the aging test is carried out on the semiconductor device according to the aging test information, which comprises the following steps:
obtaining standard parameter information of a semiconductor device to construct an aging test environment, wherein the aging test environment comprises a current test and a temperature test;
Constructing a relation curve of current and time according to an aging test environment, and generating curve parameters;
performing current test on the semiconductor device according to a relation curve of current and time and a set time to obtain the running current of the semiconductor device;
Obtaining threshold current according to standard parameter information of the semiconductor device;
comparing the operation current of the semiconductor device with a threshold current, and judging whether the threshold current is larger than the operation current of the semiconductor device;
if the current is greater than the preset threshold value, inputting different currents according to the relation curve to test the semiconductor device;
if the current is smaller than the threshold current, screening out curve points exceeding the threshold current on the relation curve, fitting the curve points to a new relation curve, and optimizing curve parameters.
In the current surge test of the semiconductor device, the current input to the semiconductor device cannot exceed the threshold current, so that the semiconductor device is prevented from being broken down directly, damage is caused, the input current is required to be gradually increased, and the burn-in time is set for the burn-in test.
According to the embodiment of the invention, an aging test environment is constructed according to standard parameter information to obtain aging test information, and the aging test is carried out on the semiconductor device according to the aging test information, and the method further comprises the following steps:
constructing a current test environment and a voltage test environment according to standard parameter information of the semiconductor device;
performing continuous current impact on the semiconductor device according to the current testing environment to obtain current testing time, and detecting the running temperature of the semiconductor device to obtain a first testing temperature;
continuously pressurizing and impacting the semiconductor device according to the voltage testing environment to obtain voltage testing time, and detecting the running temperature of the semiconductor device to obtain a second testing temperature;
setting a first coefficient according to the current test time and setting a second coefficient according to the voltage test time;
And the first coefficient and the second coefficient are multiplied by the first test temperature and the second test temperature respectively to carry out adjustment and optimization, so that the linkage test temperature is obtained.
The semiconductor device operation temperature is tested in the current test environment and the voltage test environment respectively, the test temperature is optimized and adjusted by analyzing the relation between the current and the voltage to obtain the linkage test temperature, and the linkage test temperature can be accurately analyzed during the synchronous test of the current and the voltage, so that the dual-parameter synchronous matching aging test of the semiconductor device is realized, and the test effect is improved.
According to the embodiment of the invention, if the time is greater than the preset threshold value, judging that the semiconductor device fails, and recording the failure time, further comprising:
acquiring the failure time of the semiconductor device, and comparing the failure time with a set time threshold;
if the failure time is greater than the set time threshold, judging that the semiconductor device is permanently failed and judging that the semiconductor device is damaged;
and if the failure time is smaller than the set time threshold, judging that the temporary failure exists.
It should be noted that, the failure state in the semiconductor device burn-in test process is obtained by analyzing the failure time of the semiconductor device, so as to accurately obtain the burn-in test result.
According to the embodiment of the invention, if the information is smaller than the predetermined threshold value, generating correction information, adjusting aging test parameters according to the correction information, and performing accelerated aging test on the semiconductor by adjusting the aging test information according to the aging test parameters, wherein the method comprises the following steps:
the method comprises the steps of obtaining correction information by analyzing whether the state deviation rate of the semiconductor device is larger than or equal to a set state deviation rate threshold value, and if so, obtaining an aging test parameter, and adjusting the aging test parameter by the correction information;
inputting a test model according to the aging test parameters to obtain normal test time;
Setting an acceleration factor, constraining the test model according to the acceleration factor to obtain a new test model, inputting the new test model based on the adjusted aging test parameters, and outputting acceleration test time;
And obtaining an acceleration test result according to the time ratio of the normal test time to the acceleration test time.
It should be noted that, in the aging test, the temperature is an important acceleration factor of the acceleration element, and by setting the normal temperature and the high temperature, the normal test time and the high temperature test time are analyzed, and 40% of the microelectronic failures are related to the temperature.
The normal semiconductor device failure time relationship is calculated as follows:
subscripts 1,2 denote normal and high temperature conditions respectively, Representing a temperature acceleration factor; A constant indicating driving energy, which is related to the type of the semiconductor device; Representing the Boltzmann constant; Indicating the temperature at which it is normal, Indicating the temperature at the time of the burn-in test.
According to the embodiment of the invention, when the voltage environment test is performed, the method further comprises the following steps:
And setting a voltage acceleration factor to accelerate the aging condition of the test voltage of the semiconductor device.
The voltage acceleration factor is calculated as follows:
wherein, Representing an index the function of the function is that,Representing a voltage acceleration factor; representing the characteristic coefficient of the semiconductor material, and the value range is Indicating the voltage under normal operating conditions,Representing the voltage at the time of burn-in test.
Calculating according to the temperature acceleration factor and the voltage acceleration factor to obtain a total aging acceleration test factor, wherein the total aging test acceleration factor has the following calculation formula:
Wherein the method comprises the steps of Indicating the total burn-in test acceleration factor,Indicating the temperature acceleration factor of the temperature,Indicating the permittivity.
In a second aspect, an embodiment of the present application provides a semiconductor device burn-in system, including: the memory and the processor, the memory includes the program of the semiconductor device burn-in test method, the program of the semiconductor device burn-in test method realizes the following steps when being executed by the processor:
Analyzing standard parameters of the semiconductor device based on the use scene of the semiconductor device to obtain standard parameter information;
Constructing an aging test environment according to the standard parameter information to obtain aging test information, performing aging test on the semiconductor device according to the aging test information, and obtaining real-time state information of the semiconductor device of different time nodes;
comparing the real-time state information of the semiconductor devices of adjacent time nodes to obtain a state deviation rate, and judging whether the state deviation rate is larger than or equal to a set state deviation rate threshold value;
If the service life of the semiconductor device is greater than or equal to the service life of the semiconductor device, generating fluctuation information of the semiconductor device, analyzing service life attenuation information of the semiconductor device according to the fluctuation information, and predicting the service life of the semiconductor device according to the service life attenuation information;
If the data is smaller than the threshold value, generating correction information, adjusting ageing test parameters according to the correction information, performing accelerated ageing test on the semiconductor according to the ageing test parameters, obtaining ageing test data, and transmitting the ageing test data to the terminal in real time.
It should be noted that, through constructing different ageing test environments and carrying out ageing test on the semiconductor device, in the test process, real-time state change of the semiconductor is analyzed, fluctuation information is obtained through a set state deviation rate threshold value, each time fluctuation information is generated to represent an ageing node, thereby generating attenuation signals influencing the service life of the semiconductor device, and life attenuation information is obtained, so that the service life of the semiconductor device is accurately predicted, the ageing test precision is improved, in addition, the ageing test parameters are continuously adjusted to carry out high-speed ageing on the semiconductor device, and the ageing test time is shortened.
According to the embodiment of the invention, standard parameters of the semiconductor device are analyzed based on the use scene of the semiconductor device, and standard parameter information is obtained, which comprises the following specific steps:
Acquiring a use scene of the semiconductor device, and generating scene loss information according to the use scene of the semiconductor;
Acquiring current state information of the semiconductor device, carrying out loss acceleration information on the current state information according to scene loss information, and correcting the current state information according to the loss acceleration information to obtain correction information;
Optimizing parameter information of the semiconductor device according to the correction information to generate an optimization coefficient;
and multiplying the optimization coefficient by the parameter information of the semiconductor device to obtain standard parameter information.
It should be noted that, different usage scenarios may generate corresponding scenario damage to the semiconductor device, and in the process of calculating the standard parameter of the semiconductor device, the status of the semiconductor device needs to be corrected by the scenario loss information in consideration of the scenario loss of the usage scenario, so that the obtained standard parameter information has higher precision.
According to the embodiment of the invention, an aging test environment is constructed according to standard parameter information to obtain aging test information, and the aging test is carried out on the semiconductor device according to the aging test information, which comprises the following steps:
Standard parameter information of the semiconductor device is obtained, and an aging test environment is constructed according to the standard parameter information of the semiconductor device;
inputting the aging test environment into a test model and outputting a test strategy;
testing the semiconductor device according to the testing strategy to obtain burn-in test information;
According to the aging test information, analyzing the aging test temperatures of different time nodes, and comparing the aging test temperatures of adjacent time nodes to obtain a temperature deviation rate;
Judging whether the temperature deviation rate is larger than or equal to a set temperature deviation rate threshold value;
If the temperature is greater than or equal to the temperature, analyzing the heat transmission state according to the temperature of the semiconductor device;
And if the data is smaller than the predetermined value, generating test data of the semiconductor device, and transmitting the test data to the terminal.
It should be noted that, by constructing a test model to output a test strategy matched with a test environment, different aging test information is generated for different semiconductor devices, and in the aging test process, heat generated by temperature is obtained by analyzing aging test temperatures at different times, and the influence of the temperature on the semiconductor aging test is obtained by analyzing heat transmission states.
According to an embodiment of the present invention, if the lifetime attenuation information is greater than or equal to the lifetime attenuation information, the lifetime of the semiconductor device is predicted by generating the fluctuation information of the semiconductor device, analyzing the lifetime attenuation information of the semiconductor device according to the fluctuation information, and specifically including:
Acquiring real-time state information of the semiconductor devices of the adjacent time nodes, analyzing state jump information according to the real-time state information of the semiconductor devices of the adjacent time nodes, and generating state fluctuation information according to the state jump information;
comparing the state fluctuation information with the set fluctuation information to obtain a fluctuation deviation rate;
judging whether the fluctuation deviation rate is larger than a set fluctuation deviation rate threshold value or not;
if the time is greater than the preset time, judging that the semiconductor device fails, and recording the failure time;
if the current state information is smaller than the current state information, the service life of the semiconductor device is predicted according to the current state information.
By analyzing the real-time state information of the adjacent time nodes, when the state difference is large, the state jump information is generated to obtain the state fluctuation information, the state fluctuation information can be understood as that the state of the semiconductor device is suddenly changed when the current time node is transited to the next time node, the failure of the semiconductor device occurs at the moment, and the failure time is recorded, so that the failure time is analyzed to be short failure or permanent failure, and the service life of the semiconductor device is accurately analyzed.
According to the embodiment of the invention, an aging test environment is constructed according to standard parameter information to obtain aging test information, and the aging test is carried out on the semiconductor device according to the aging test information, which comprises the following steps:
obtaining standard parameter information of a semiconductor device to construct an aging test environment, wherein the aging test environment comprises a current test and a temperature test;
Constructing a relation curve of current and time according to an aging test environment, and generating curve parameters;
performing current test on the semiconductor device according to a relation curve of current and time and a set time to obtain the running current of the semiconductor device;
Obtaining threshold current according to standard parameter information of the semiconductor device;
comparing the operation current of the semiconductor device with a threshold current, and judging whether the threshold current is larger than the operation current of the semiconductor device;
if the current is greater than the preset threshold value, inputting different currents according to the relation curve to test the semiconductor device;
if the current is smaller than the threshold current, screening out curve points exceeding the threshold current on the relation curve, fitting the curve points to a new relation curve, and optimizing curve parameters.
In the current surge test of the semiconductor device, the current input to the semiconductor device cannot exceed the threshold current, so that the semiconductor device is prevented from being broken down directly, damage is caused, the input current is required to be gradually increased, and the burn-in time is set for the burn-in test.
According to the embodiment of the invention, an aging test environment is constructed according to standard parameter information to obtain aging test information, and the aging test is carried out on the semiconductor device according to the aging test information, and the method further comprises the following steps:
constructing a current test environment and a voltage test environment according to standard parameter information of the semiconductor device;
performing continuous current impact on the semiconductor device according to the current testing environment to obtain current testing time, and detecting the running temperature of the semiconductor device to obtain a first testing temperature;
continuously pressurizing and impacting the semiconductor device according to the voltage testing environment to obtain voltage testing time, and detecting the running temperature of the semiconductor device to obtain a second testing temperature;
setting a first coefficient according to the current test time and setting a second coefficient according to the voltage test time;
And the first coefficient and the second coefficient are multiplied by the first test temperature and the second test temperature respectively to carry out adjustment and optimization, so that the linkage test temperature is obtained.
The semiconductor device operation temperature is tested in the current test environment and the voltage test environment respectively, the test temperature is optimized and adjusted by analyzing the relation between the current and the voltage to obtain the linkage test temperature, and the linkage test temperature can be accurately analyzed during the synchronous test of the current and the voltage, so that the dual-parameter synchronous matching aging test of the semiconductor device is realized, and the test effect is improved.
According to the embodiment of the invention, if the time is greater than the preset threshold value, judging that the semiconductor device fails, and recording the failure time, further comprising:
acquiring the failure time of the semiconductor device, and comparing the failure time with a set time threshold;
if the failure time is greater than the set time threshold, judging that the semiconductor device is permanently failed and judging that the semiconductor device is damaged;
and if the failure time is smaller than the set time threshold, judging that the temporary failure exists.
It should be noted that, the failure state in the semiconductor device burn-in test process is obtained by analyzing the failure time of the semiconductor device, so as to accurately obtain the burn-in test result.
According to the embodiment of the invention, if the information is smaller than the predetermined threshold value, generating correction information, adjusting aging test parameters according to the correction information, and performing accelerated aging test on the semiconductor by adjusting the aging test information according to the aging test parameters, wherein the method comprises the following steps:
the method comprises the steps of obtaining correction information by analyzing whether the state deviation rate of the semiconductor device is larger than or equal to a set state deviation rate threshold value, and if so, obtaining an aging test parameter, and adjusting the aging test parameter by the correction information;
inputting a test model according to the aging test parameters to obtain normal test time;
Setting an acceleration factor, constraining the test model according to the acceleration factor to obtain a new test model, inputting the new test model based on the adjusted aging test parameters, and outputting acceleration test time;
And obtaining an acceleration test result according to the time ratio of the normal test time to the acceleration test time.
It should be noted that, in the aging test, the temperature is an important acceleration factor of the acceleration element, and by setting the normal temperature and the high temperature, the normal test time and the high temperature test time are analyzed, and 40% of the microelectronic failures are related to the temperature.
The normal semiconductor device failure time relationship is calculated as follows:
subscripts 1,2 denote normal and high temperature conditions respectively, Representing a temperature acceleration factor; A constant indicating driving energy, which is related to the type of the semiconductor device; Representing the Boltzmann constant; Indicating the temperature at which it is normal, Indicating the temperature at the time of the burn-in test.
According to the embodiment of the invention, when the voltage environment test is performed, the method further comprises the following steps:
And setting a voltage acceleration factor to accelerate the aging condition of the test voltage of the semiconductor device.
The voltage acceleration factor is calculated as follows:
wherein, Representing an index the function of the function is that,Representing a voltage acceleration factor; The number of semiconductor experimental samples is represented; Indicating the voltage under normal operating conditions, Representing the voltage at the time of burn-in test.
Calculating according to the temperature acceleration factor and the voltage acceleration factor to obtain a total aging acceleration test factor, wherein the total aging test acceleration factor has the following calculation formula:
Wherein the method comprises the steps of Indicating the total burn-in acceleration factor.
A third aspect of the present invention provides a computer readable storage medium having embodied therein a semiconductor device burn-in test method program which, when executed by a processor, implements the steps of the semiconductor device burn-in test method as in any one of the above.
According to the semiconductor device aging test method, system and medium disclosed by the invention, standard parameter information is obtained by analyzing standard parameters of a semiconductor device based on the use scene of the semiconductor device; constructing an aging test environment according to the standard parameter information to obtain aging test information, performing aging test on the semiconductor device according to the aging test information, and obtaining real-time state information of the semiconductor device of different time nodes; comparing the real-time state information of the semiconductor devices of adjacent time nodes to obtain a state deviation rate, and judging whether the state deviation rate is larger than or equal to a set state deviation rate threshold value; if the service life of the semiconductor device is greater than or equal to the service life of the semiconductor device, generating fluctuation information of the semiconductor device, analyzing service life attenuation information of the semiconductor device according to the fluctuation information, and predicting the service life of the semiconductor device according to the service life attenuation information; if the parameter is smaller than the preset threshold value, generating correction information, adjusting ageing test parameters according to the correction information, performing accelerated ageing test on the semiconductor according to the ageing test parameters, obtaining ageing test data, transmitting the ageing test data to a terminal in real time, performing ageing tests of different parameters on the semiconductor device by constructing different ageing test environments, analyzing the ageing test state of the semiconductor device, and predicting service life attenuation according to fluctuation information in the test process, thereby obtaining an ageing test result.
In the several embodiments provided by the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above described device embodiments are only illustrative, e.g. the division of units is only one logical function division, and there may be other divisions in actual implementation, such as: multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. In addition, the various components shown or discussed may be coupled or directly coupled or communicatively coupled to each other via some interface, whether indirectly coupled or communicatively coupled to devices or units, whether electrically, mechanically, or otherwise.
The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units; can be located in one place or distributed to a plurality of network units; some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present invention may be integrated in one processing unit, or each unit may be separately used as one unit, or two or more units may be integrated in one unit; the integrated units may be implemented in hardware or in hardware plus software functional units.
Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the above method embodiments may be implemented by hardware related to program instructions, and the foregoing program may be stored in a readable storage medium, where the program, when executed, performs steps including the above method embodiments; and the aforementioned storage medium includes: a mobile storage device, a Read-only memory (ROM), a random access memory (RAM, randomAccessMemory), a magnetic disk, or an optical disk, etc., which can store program codes.
Or the above-described integrated units of the invention may be stored in a readable storage medium if implemented in the form of software functional modules and sold or used as separate products. Based on such understanding, the technical solution of the embodiments of the present invention may be embodied in essence or a part contributing to the prior art in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, ROM, RAM, magnetic or optical disk, or other medium capable of storing program code.

Claims (10)

1.一种半导体器件老化测试方法,其特征在于,包括:1. A semiconductor device aging test method, comprising: S101、基于半导体器件的使用场景分析半导体器件的标准参数,得到标准参数信息;S101, analyzing standard parameters of semiconductor devices based on usage scenarios of semiconductor devices to obtain standard parameter information; S102、根据标准参数信息构建老化测试环境,得到老化测试信息,根据老化测试信息对半导体器件进行老化测试,并获取不同时间节点的半导体器件的实时状态信息;S102, constructing an aging test environment according to standard parameter information, obtaining aging test information, performing an aging test on the semiconductor device according to the aging test information, and obtaining real-time status information of the semiconductor device at different time nodes; S103、将相邻时间节点的半导体器件的实时状态信息进行比较,得到状态偏差率,判断所述状态偏差率是否大于或等于设定的状态偏差率阈值;S103, comparing the real-time status information of semiconductor devices at adjacent time nodes to obtain a status deviation rate, and determining whether the status deviation rate is greater than or equal to a set status deviation rate threshold; S104、若大于或等于,则生成半导体器件的波动信息,根据波动信息进行分析半导体器件的寿命衰减信息,根据寿命衰减信息进行预测半导体的寿命;S104, if it is greater than or equal to, generating fluctuation information of the semiconductor device, analyzing the life attenuation information of the semiconductor device according to the fluctuation information, and predicting the life of the semiconductor according to the life attenuation information; S105、若小于,则生成修正信息,根据修正信息调整老化测试参数,根据老化测试参数调整老化测试信息对半导体进行加速老化测试,得到老化测试数据,将老化测试数据实时传输至终端。S105. If it is less than, generate correction information, adjust the aging test parameters according to the correction information, adjust the aging test information according to the aging test parameters, perform accelerated aging test on the semiconductor, obtain aging test data, and transmit the aging test data to the terminal in real time. 2.根据权利要求1所述的半导体器件老化测试方法,其特征在于,基于半导体器件的使用场景分析半导体器件的标准参数,得到标准参数信息,具体包括:2. The semiconductor device aging test method according to claim 1, characterized in that the standard parameters of the semiconductor device are analyzed based on the usage scenario of the semiconductor device to obtain the standard parameter information, specifically comprising: S201、获取半导体器件的使用场景,根据半导体的使用场景生成场景损耗信息;S201, obtaining a usage scenario of a semiconductor device, and generating scenario loss information according to the usage scenario of the semiconductor; S202、获取半导体器件的当前状态信息,根据场景损耗信息对当前状态信息损耗加速信息,根据损耗加速信息对当前状态信息进行校正,得到校正信息;S202, obtaining current state information of the semiconductor device, performing loss acceleration information on the current state information according to the scene loss information, and correcting the current state information according to the loss acceleration information to obtain correction information; S203、根据校正信息对半导体器件的参数信息进行优化,生成优化系数;S203, optimizing parameter information of the semiconductor device according to the correction information to generate an optimization coefficient; S204、将优化系数乘以半导体器件的参数信息,得到标准参数信息。S204, multiplying the optimization coefficient by the parameter information of the semiconductor device to obtain standard parameter information. 3.根据权利要求2所述的半导体器件老化测试方法,其特征在于,根据标准参数信息构建老化测试环境,得到老化测试信息,根据老化测试信息对半导体器件进行老化测试,具体包括:3. The semiconductor device aging test method according to claim 2, characterized in that an aging test environment is constructed according to standard parameter information to obtain aging test information, and an aging test is performed on the semiconductor device according to the aging test information, specifically comprising: S301、获取半导体器件的标准参数信息,根据半导体器件的标准参数信息构建老化测试环境;S301, obtaining standard parameter information of semiconductor devices, and constructing an aging test environment according to the standard parameter information of semiconductor devices; S302、将老化测试环境输入测试模型输出测试策略,根据测试策略对半导体器件进行测试,得到老化测试信息;S302, inputting the aging test environment into the test model and outputting the test strategy, testing the semiconductor device according to the test strategy, and obtaining aging test information; S303、根据老化测试信息分析不同时间节点的老化测试温度,将相邻时间节点的老化测试温度进行比较,得到温度偏差率;S303, analyzing the aging test temperatures at different time nodes according to the aging test information, comparing the aging test temperatures at adjacent time nodes, and obtaining a temperature deviation rate; S304、判断所述温度偏差率是否大于或等于设定的温度偏差率阈值;S304, determining whether the temperature deviation rate is greater than or equal to a set temperature deviation rate threshold; S305、若大于或等于,则根据半导体器件的温度分析热量传输状态;若小于,则生成半导体器件的测试数据,将测试数据传输至终端。S305, if it is greater than or equal to, analyzing the heat transfer state according to the temperature of the semiconductor device; if it is less than, generating test data of the semiconductor device and transmitting the test data to the terminal. 4.根据权利要求3所述的半导体器件老化测试方法,其特征在于,若大于或等于,则生成半导体器件的波动信息,根据波动信息进行分析半导体器件的寿命衰减信息,根据寿命衰减信息进行预测半导体的寿命,具体包括:4. The semiconductor device aging test method according to claim 3 is characterized in that if is greater than or equal to , then generating fluctuation information of the semiconductor device, analyzing the life attenuation information of the semiconductor device according to the fluctuation information, and predicting the life of the semiconductor according to the life attenuation information, specifically comprising: 获取相邻时间节点的半导体器件的实时状态信息,根据相邻时间节点的半导体器件的实时状态信息分析状态跳跃信息,根据状态跳跃信息生成状态波动信息;Acquire real-time status information of semiconductor devices at adjacent time nodes, analyze status jump information according to the real-time status information of semiconductor devices at adjacent time nodes, and generate status fluctuation information according to the status jump information; 将状态波动信息与设定的波动信息比较,得到波动偏差率;Compare the state fluctuation information with the set fluctuation information to obtain the fluctuation deviation rate; 判断所述波动偏差率是否大于设定的波动偏差率阈值;Determining whether the fluctuation deviation rate is greater than a set fluctuation deviation rate threshold; 若大于,则判定半导体器件失效,并记录失效时间;If it is greater than, the semiconductor device is judged to be failed and the failure time is recorded; 若小于,则根据当前半导体器件的实时状态信息预测半导体器件的寿命。If it is less than, the life of the semiconductor device is predicted based on the real-time status information of the current semiconductor device. 5.根据权利要求4所述的半导体器件老化测试方法,其特征在于,根据标准参数信息构建老化测试环境,得到老化测试信息,根据老化测试信息对半导体器件进行老化测试,具体包括:5. The semiconductor device aging test method according to claim 4, characterized in that an aging test environment is constructed according to standard parameter information to obtain aging test information, and an aging test is performed on the semiconductor device according to the aging test information, specifically comprising: 获取半导体器件的标准参数信息构建老化测试环境,老化测试环境包括电流测试与温度测试;Obtain standard parameter information of semiconductor devices to build an aging test environment, which includes current testing and temperature testing; 根据老化测试环境构建电流与时间的关系曲线,生成曲线参数;Construct a curve of the relationship between current and time according to the aging test environment and generate curve parameters; 根据电流与时间的关系曲线对半导体器件按照设定时间进行电流测试,得到半导体器件的运行电流;According to the relationship curve between current and time, the semiconductor device is tested for a set time to obtain the operating current of the semiconductor device; 根据半导体器件的标准参数信息得到阈值电流;Obtaining a threshold current according to standard parameter information of a semiconductor device; 将半导体器件的运行电流与阈值电流进行比较,判断阈值电流是否大于半导体器件的运行电流;comparing the operating current of the semiconductor device with the threshold current to determine whether the threshold current is greater than the operating current of the semiconductor device; 若大于,则根据关系曲线输入不同的电流对半导体器件进行测试;If it is greater than, then different currents are input according to the relationship curve to test the semiconductor device; 若小于,则筛选出关系曲线上超出阈值电流的曲线点,拟合成新的关系曲线,并优化曲线参数。If it is less than, the curve points on the relationship curve that exceed the threshold current are screened out, fitted into a new relationship curve, and the curve parameters are optimized. 6.根据权利要求5所述的半导体器件老化测试方法,其特征在于,根据标准参数信息构建老化测试环境,得到老化测试信息,根据老化测试信息对半导体器件进行老化测试,还包括:6. The semiconductor device aging test method according to claim 5, characterized in that an aging test environment is constructed according to standard parameter information to obtain aging test information, and an aging test is performed on the semiconductor device according to the aging test information, and further comprising: 根据半导体器件的标准参数信息构建电流测试环境与电压测试环境;Construct current test environment and voltage test environment according to standard parameter information of semiconductor devices; 根据电流测试环境对半导体器件进行持续电流冲击,得到电流测试时间,并检测半导体器件运行温度,得到第一测试温度;Performing a continuous current shock on the semiconductor device according to the current test environment to obtain a current test time, and detecting an operating temperature of the semiconductor device to obtain a first test temperature; 根据电压测试环境对半导体器件进行持续加压冲击,得到电压测试时间,并检测半导体器件运行温度,得到第二测试温度;Performing continuous pressure shock on the semiconductor device according to the voltage test environment to obtain the voltage test time, and detecting the operating temperature of the semiconductor device to obtain a second test temperature; 根据电流测试时间设定第一系数,根据电压测试时间设定第二系数;The first coefficient is set according to the current test time, and the second coefficient is set according to the voltage test time; 通过第一系数与第二系数分别乘以第一测试温度与第二测试温度进行调整优化,得到联动测试温度。The linkage test temperature is obtained by respectively multiplying the first coefficient and the second coefficient by the first test temperature and the second test temperature for adjustment and optimization. 7.一种半导体器件老化测试系统,其特征在于,该系统包括:存储器及处理器,所述存储器中包括半导体器件老化测试方法的程序,所述半导体器件老化测试方法的程序被所述处理器执行时实现以下步骤:7. A semiconductor device aging test system, characterized in that the system comprises: a memory and a processor, wherein the memory comprises a program of a semiconductor device aging test method, and when the program of the semiconductor device aging test method is executed by the processor, the following steps are implemented: 基于半导体器件的使用场景分析半导体器件的标准参数,得到标准参数信息;Analyze standard parameters of semiconductor devices based on usage scenarios of semiconductor devices to obtain standard parameter information; 根据标准参数信息构建老化测试环境,得到老化测试信息,根据老化测试信息对半导体器件进行老化测试,并获取不同时间节点的半导体器件的实时状态信息;Building an aging test environment according to standard parameter information, obtaining aging test information, performing aging tests on semiconductor devices according to the aging test information, and obtaining real-time status information of semiconductor devices at different time nodes; 将相邻时间节点的半导体器件的实时状态信息进行比较,得到状态偏差率,判断所述状态偏差率是否大于或等于设定的状态偏差率阈值;Comparing the real-time status information of the semiconductor devices at adjacent time nodes to obtain a status deviation rate, and determining whether the status deviation rate is greater than or equal to a set status deviation rate threshold; 若大于或等于,则生成半导体器件的波动信息,根据波动信息进行分析半导体器件的寿命衰减信息,根据寿命衰减信息进行预测半导体的寿命;If it is greater than or equal to, then generate fluctuation information of the semiconductor device, analyze the life attenuation information of the semiconductor device according to the fluctuation information, and predict the life of the semiconductor according to the life attenuation information; 若小于,则生成修正信息,根据修正信息调整老化测试参数,根据老化测试参数调整老化测试信息对半导体进行加速老化测试,得到老化测试数据,将老化测试数据实时传输至终端。If it is less than, correction information is generated, the aging test parameters are adjusted according to the correction information, the aging test information is adjusted according to the aging test parameters to perform accelerated aging test on the semiconductor, aging test data is obtained, and the aging test data is transmitted to the terminal in real time. 8.根据权利要求7所述的半导体器件老化测试系统,其特征在于,基于半导体器件的使用场景分析半导体器件的标准参数,得到标准参数信息,具体包括:8. The semiconductor device aging test system according to claim 7, characterized in that the standard parameters of the semiconductor device are analyzed based on the usage scenario of the semiconductor device to obtain the standard parameter information, specifically including: 获取半导体器件的使用场景,根据半导体的使用场景生成场景损耗信息;Obtain usage scenarios of semiconductor devices, and generate scenario loss information according to the usage scenarios of semiconductors; 获取半导体器件的当前状态信息,根据场景损耗信息对当前状态信息损耗加速信息,根据损耗加速信息对当前状态信息进行校正,得到校正信息;Acquire current state information of the semiconductor device, perform loss acceleration information on the current state information according to the scene loss information, and correct the current state information according to the loss acceleration information to obtain correction information; 根据校正信息对半导体器件的参数信息进行优化,生成优化系数;Optimizing parameter information of the semiconductor device according to the correction information to generate an optimization coefficient; 将优化系数乘以半导体器件的参数信息,得到标准参数信息。The optimization coefficient is multiplied by the parameter information of the semiconductor device to obtain the standard parameter information. 9.根据权利要求8所述的半导体器件老化测试系统,其特征在于,根据标准参数信息构建老化测试环境,得到老化测试信息,根据老化测试信息对半导体器件进行老化测试,具体包括:9. The semiconductor device aging test system according to claim 8, characterized in that the aging test environment is constructed according to the standard parameter information, the aging test information is obtained, and the aging test is performed on the semiconductor device according to the aging test information, specifically comprising: 获取半导体器件的标准参数信息,根据半导体器件的标准参数信息构建老化测试环境;Obtaining standard parameter information of semiconductor devices, and constructing an aging test environment according to the standard parameter information of semiconductor devices; 将老化测试环境输入测试模型输出测试策略;Input the aging test environment into the test model and output the test strategy; 根据测试策略对半导体器件进行测试,得到老化测试信息;Testing semiconductor devices according to the test strategy to obtain aging test information; 根据老化测试信息分析不同时间节点的老化测试温度,将相邻时间节点的老化测试温度进行比较,得到温度偏差率;Analyze the aging test temperatures at different time nodes according to the aging test information, compare the aging test temperatures at adjacent time nodes, and obtain the temperature deviation rate; 判断所述温度偏差率是否大于或等于设定的温度偏差率阈值;Determining whether the temperature deviation rate is greater than or equal to a set temperature deviation rate threshold; 若大于或等于,则根据半导体器件的温度分析热量传输状态;If it is greater than or equal to, the heat transfer state is analyzed according to the temperature of the semiconductor device; 若小于,则生成半导体器件的测试数据,将测试数据传输至终端。If it is less than, test data of the semiconductor device is generated and transmitted to the terminal. 10.一种计算机可读存储介质,其特征在于,所述计算机可读存储介质中包括半导体器件老化测试方法程序,所述半导体器件老化测试方法程序被处理器执行时,实现如权利要求1至6中任一项所述的半导体器件老化测试方法的步骤。10. A computer-readable storage medium, characterized in that the computer-readable storage medium includes a semiconductor device aging test method program, and when the semiconductor device aging test method program is executed by a processor, the steps of the semiconductor device aging test method according to any one of claims 1 to 6 are implemented.
CN202410767035.1A 2024-06-14 2024-06-14 A semiconductor device aging test method, system and medium Pending CN118731621A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202410767035.1A CN118731621A (en) 2024-06-14 2024-06-14 A semiconductor device aging test method, system and medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202410767035.1A CN118731621A (en) 2024-06-14 2024-06-14 A semiconductor device aging test method, system and medium

Publications (1)

Publication Number Publication Date
CN118731621A true CN118731621A (en) 2024-10-01

Family

ID=92855567

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202410767035.1A Pending CN118731621A (en) 2024-06-14 2024-06-14 A semiconductor device aging test method, system and medium

Country Status (1)

Country Link
CN (1) CN118731621A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN119199456A (en) * 2024-11-21 2024-12-27 杭州高坤电子科技有限公司 Semiconductor testing method, system, terminal and medium
CN120870802A (en) * 2025-09-22 2025-10-31 浙江广芯微电子有限公司 COOLMOS aging test scheme generation method and platform

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2000097990A (en) * 1998-09-24 2000-04-07 Mitsubishi Electric Corp Semiconductor device burn-in test equipment
CN107018603A (en) * 2017-06-16 2017-08-04 京东方科技集团股份有限公司 The ageing testing method and aging testing system of luminescent device
WO2020101271A1 (en) * 2018-11-12 2020-05-22 한국전기연구원 Method for predicting temperature change associated with normal and short-circuit states of battery
CN114441872A (en) * 2022-01-14 2022-05-06 西南交通大学 A method for evaluating the aging state of ZnO varistor under the influence of temperature
US20230071455A1 (en) * 2021-09-08 2023-03-09 Rockwell Automation Technologies, Inc. Product lifecycle management
CN116773990A (en) * 2022-03-09 2023-09-19 淮北矿业股份有限公司朱仙庄煤矿 Method and system for determining aging degree of power semiconductor device
CN116933099A (en) * 2023-07-20 2023-10-24 苏州艾驰博特检测科技有限公司 Automobile part aging test method, system and medium
CN117250465A (en) * 2023-10-27 2023-12-19 深圳力钛科技术有限公司 Environment control regulating system for semiconductor device aging test
CN117907810A (en) * 2024-03-19 2024-04-19 深圳市铨兴科技有限公司 Automatic chip aging test method, system and medium

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2000097990A (en) * 1998-09-24 2000-04-07 Mitsubishi Electric Corp Semiconductor device burn-in test equipment
CN107018603A (en) * 2017-06-16 2017-08-04 京东方科技集团股份有限公司 The ageing testing method and aging testing system of luminescent device
WO2020101271A1 (en) * 2018-11-12 2020-05-22 한국전기연구원 Method for predicting temperature change associated with normal and short-circuit states of battery
US20230071455A1 (en) * 2021-09-08 2023-03-09 Rockwell Automation Technologies, Inc. Product lifecycle management
CN114441872A (en) * 2022-01-14 2022-05-06 西南交通大学 A method for evaluating the aging state of ZnO varistor under the influence of temperature
CN116773990A (en) * 2022-03-09 2023-09-19 淮北矿业股份有限公司朱仙庄煤矿 Method and system for determining aging degree of power semiconductor device
CN116933099A (en) * 2023-07-20 2023-10-24 苏州艾驰博特检测科技有限公司 Automobile part aging test method, system and medium
CN117250465A (en) * 2023-10-27 2023-12-19 深圳力钛科技术有限公司 Environment control regulating system for semiconductor device aging test
CN117907810A (en) * 2024-03-19 2024-04-19 深圳市铨兴科技有限公司 Automatic chip aging test method, system and medium

Non-Patent Citations (8)

* Cited by examiner, † Cited by third party
Title
(美)迪特尔•K.施罗德: "半导体材料与器件表征", 31 December 2017, 西安交通大学出版社, pages: 618 - 620 *
付桂翠: "电子元器件可靠性技术基础", 31 January 2022, 北京航空航天大学出版社, pages: 85 *
戴志坚: "集成电路测试原理", 30 April 2023, 电子科技大学出版社, pages: 22 *
朱麟章: "试验参量的检测与控制", 31 October 1989, 机械工业出版社, pages: 10 *
牛彩雯等: "传感器与检测技术", 31 December 2021, 机械工业出版社, pages: 288 *
赵文彦等: "辐射加工技术及其应用", 31 March 2003, 兵器工业出版社, pages: 241 - 242 *
陆肇达: "泵与风机系统的能量学和经济性分析", 31 August 2009, 国防工业出版社, pages: 159 *
陈琦: "航天器电源技术", 31 May 2018, 北京理工大学出版社, pages: 208 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN119199456A (en) * 2024-11-21 2024-12-27 杭州高坤电子科技有限公司 Semiconductor testing method, system, terminal and medium
CN120870802A (en) * 2025-09-22 2025-10-31 浙江广芯微电子有限公司 COOLMOS aging test scheme generation method and platform

Similar Documents

Publication Publication Date Title
CN118731621A (en) A semiconductor device aging test method, system and medium
CN108304287B (en) Disk fault detection method and device and related equipment
CN117907810B (en) Automatic chip aging test method, system and medium
CN104182603A (en) Reliability evaluation method for long-service-life and high-reliability electronic product
CN111257672B (en) Line loss point inspection method and device, computer equipment and storage medium
CN119988119B (en) Rapid verification method for data transmission of nonstandard Type-C interface
US20240255396A1 (en) Product Reliability Evaluation Method And Apparatus Based On Multi-Stress Coupling Acceleration Model
CN109218136B (en) WIFI connection performance test method and device, computer equipment and storage medium
CN118731675A (en) Fault detection and early warning method and system for circuit breaker
CN117970159A (en) Method, system and medium for evaluating availability of waste battery based on big data
CN116973726A (en) IC burn-in test method, device, equipment and storage medium
US20250216846A1 (en) Method and Apparatus for Calculating Remaining Useful Life of Electronic System
CN118170596B (en) Data connector dynamic monitoring method and system based on artificial intelligence
CN117406048B (en) A transformer discharge fault diagnosis method and device
CN110515752B (en) A method and device for predicting the life of a magnetic disk device
CN118657505A (en) Monitoring method, device, storage medium and computer equipment for nuclear power instrument
JP2013024671A (en) Semiconductor integrated circuit test method, system, and program
CN116124403B (en) Mechanical shock testing method, device, electronic device and storage medium
CN118731567A (en) A multi-scenario integrated power distribution equipment testing method and device
CN114021302B (en) Transmission line life assessment method, device, system and storage medium
CN113172764B (en) Monitoring method and system for mixing plant
KR102332500B1 (en) Reliability prediction method based on priority of available information quality
CN111061254B (en) A method and system for evaluating the performance of a PHM system
JP5018474B2 (en) Semiconductor device test apparatus and semiconductor device test method
CN114705936A (en) Product state judgment method, device, equipment and storage medium

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination