JP2023009580A - State monitoring device of rolling bearing, wind turbine generator, state monitoring method, and program - Google Patents

Abstract

To appropriately acquire data for monitoring a state of a rolling bearing in an environment in which a rotation speed can consecutively change.SOLUTION: A state monitoring device of a rolling bearing includes: first acquisition means configured to acquire vibration information or sound information of the rolling bearing in rotation; second acquisition means configured to acquire a rotation speed of the rolling bearing in rotation; derivation means configured to derive a timing for sampling data from the vibration information or the sound information according to the rotation speed so that a sampling number per one rotation of the rolling bearing becomes a prescribed value; and generation means configured to sample data from the vibration information or the sound information according to the timing derived at the derivation means to generate data for monitoring.SELECTED DRAWING: Figure 1

Description

The present invention relates to a rolling bearing condition monitoring device, a wind turbine generator, a condition monitoring method, and a program.

Conventionally, mechanical devices such as wind power generators are provided with rolling bearings. By monitoring the state of rolling bearings and performing control according to the state, malfunctions of mechanical devices are prevented and more appropriate operations are performed. Vibration, sound, rotational speed, and the like are used as information used for monitoring the state of rolling bearings.

In Patent Document 1, in a bearing deterioration diagnosis device, "rotation-tracking analysis" that analyzes how the magnitude of the vibration noise of the order component of interest changes as the rotation speed increases or decreases is shown. It is

WO2017/145222

For example, in a wind power generator, intermittent changes in rotational speed may occur due to the influence of wind from the outside. In particular, since the wind power generator operates by rotating at a relatively low speed, the rotational speed may change even during one rotation of the rolling bearing. If the rotational speed fluctuates, the vibration frequency of each part of the rolling bearing will fluctuate. As a result, the accuracy decreases. In addition, when the rotation speed is relatively low, such as in a wind power generator, it is necessary to analyze low-frequency components. At this time, in order to acquire a certain number of data, it is necessary to set a long data sampling time. The longer the sampling time, the higher the possibility that the rotation speed will fluctuate, and the easier it will be to be affected. As a result, it becomes difficult to properly monitor the condition of the rolling bearing.

In view of the above problems, it is an object of the present invention to appropriately acquire data for monitoring the state of a rolling bearing in an environment where the rotational speed can intermittently change.

In order to solve the above problems, the present invention has the following configuration. That is, a rolling bearing condition monitoring device comprising:
a first acquisition means for acquiring vibration information or sound information of the rolling bearing during rotation;
a second acquiring means for acquiring the rotational speed of the rolling bearing during rotation;
Derivation means for deriving timing for sampling data from the vibration information or the sound information according to the rotation speed so that the number of samples per rotation of the rolling bearing is a predetermined value;
generation means for generating monitoring data by sampling data from the vibration information or sound information based on the timing derived by the derivation means;
have

Moreover, another form of this invention has the following structures. That is, the wind turbine generator,
A condition monitoring device and a rolling bearing, wherein the condition monitoring device comprises first acquisition means for acquiring vibration information or sound information of the rolling bearing during rotation and rotational speed of the rolling bearing during rotation. and deriving means for deriving the timing of sampling data from the vibration information or the sound information according to the rotational speed so that the number of samples per rotation of the rolling bearing is a predetermined value. and generating means for generating monitoring data by sampling data from the vibration information or sound information based on the timing derived by the deriving means;
have

Moreover, another form of this invention has the following structures. That is, a rolling bearing condition monitoring method comprising:
a first acquiring step of acquiring vibration information or sound information of the rolling bearing during rotation;
a second acquisition step of acquiring a rotational speed of the rolling bearing during rotation;
a derivation step of deriving a timing for sampling data from the vibration information or the sound information according to the rotational speed so that the number of samples per rotation of the rolling bearing is a predetermined value;
a generation step of sampling data from the vibration information or the sound information based on the timing derived in the derivation step to generate data for monitoring;
have

Moreover, another form of this invention has the following structures. That is, the program
to the computer,
a first acquiring step of acquiring vibration information or sound information of the rotating rolling bearing;
a second acquisition step of acquiring a rotational speed of the rolling bearing during rotation;
a derivation step of deriving a timing for sampling data from the vibration information or the sound information according to the rotational speed so that the number of samples per rotation of the rolling bearing is a predetermined value;
a generation step of sampling data from the vibration information or the sound information based on the timing derived in the derivation step to generate data for monitoring;
to run.

According to the present invention, it is possible to appropriately acquire data for monitoring the state of a rolling bearing in an environment where the rotational speed can intermittently change.

FIG. 1 is a schematic diagram showing an example of an apparatus configuration according to one embodiment of the present invention; Schematic diagram showing an example of a functional configuration according to an embodiment of the present invention. Schematic diagram for explaining sampling according to the present invention. 4 is a flowchart of state monitoring processing according to one embodiment of the present invention; The figure which shows the example of the calculation formula of the frequency for every part of the rolling bearing which concerns on one Embodiment of this invention.

EMBODIMENT OF THE INVENTION Hereafter, the form for implementing this invention is demonstrated with reference to drawings. In addition, the embodiment described below is one embodiment for describing the invention of the present application, and is not intended to be construed as limiting the invention of the present application. Not all configurations are essential configurations for solving the problems of the present invention. Moreover, in each drawing, the same component is indicated by the same reference number to indicate the correspondence.

<First embodiment>
A first embodiment of the present invention will be described below.

[Device configuration]
An embodiment of a device to which the state monitoring method according to the present invention can be applied will be described below. In the following description, as an example of application, a wind power generator including a rolling bearing will be described, but the present invention is not limited to the wind power generator, and can be applied to other mechanical devices as well. Apparatuses to which the present invention can be applied include those equipped with rolling bearings whose rotational speed is relatively slow, those whose rotational speed fluctuates greatly, and the like.

FIG. 1 is a schematic configuration diagram of a wind power generator to which a load estimation method according to this embodiment is applied. As shown in FIG. 1, the wind turbine generator 10 includes a tower 11 erected on the ground, a nacelle 12 supported on the upper end of the tower 11, and a rotor 13 provided at the end of the nacelle 12. there is A rotation mechanism 14 for adjusting the direction of the nacelle 12 (yaw control) is provided between the tower 11 and the nacelle 12 .

A drive train unit 21 is housed in the nacelle 12 . The drive train section 21 includes a main shaft 22 , a gearbox 23 , a generator 24 and rolling bearings 25 . The main shaft 22 is connected to a generator 24 via a gearbox 23 . The main shaft 22 is rotatably supported within the nacelle 12 by rolling bearings 25 . A vibration sensor 27 is provided in the rolling bearing 25 that supports the main shaft 22 and the gearbox 23 to measure the vibration generated in the rolling bearing 25 . A rotational speed sensor 29 for detecting the rotational speed of the main shaft 22 is also provided. The power generator 24 is provided with a power generation amount measuring device 28 for measuring the power generation amount.

The rotor 13 has a hub 31 and a plurality of blades 32 . Each of the plurality of blades 32 radially extends from the hub 31 . The rotor 13 is provided at the end of the main shaft 22 of the drive train section 21 . The hub 31 adjusts the orientation (pitch control) of each of the plurality of blades 32 .

In the wind turbine generator 10 , the rotating shafts of the gearbox 23 and the generator 24 are also supported by rolling bearings (not shown) provided separately from the rolling bearings 25 . Further, the drive train section 21 is provided with a braking device (not shown) for stopping or decelerating the rotation of the main shaft 22 as necessary.

In the wind turbine generator 10 having the above structure, the main shaft 22 is rotated by the blades 32 of the rotor 13 receiving the wind. Then, the rotation of the main shaft 22 is accelerated by the gearbox 23 and transmitted to the generator 24, which generates electricity. In addition, when the blades 32 of the rotor 13 receive the wind, a load (radial load and axial load) is applied to the rolling bearing 25 via the main shaft 22 . Note that FIG. 1 shows a configuration in which one rolling bearing 25 is provided for one wind turbine generator 10 in order to simplify the explanation, but the present invention is not limited to this configuration. A plurality of rolling bearings 25 may be provided to support the main shaft 22 in the wind turbine generator 10 .

[Function configuration]
FIG. 2 is a schematic configuration diagram showing an example of the functional configuration according to this embodiment. FIG. 2 shows the configuration of the monitoring target rolling bearing 25 and the monitoring device 50 that performs the monitoring operation according to the present embodiment. The rolling bearing 25 rotatably supports the main shaft 22 . In addition, in this embodiment, the rolling bearing 25 can be applied to, for example, a tapered roller bearing, a cylindrical roller bearing, or the like, but is not limited to these.

The monitoring device 50 may be provided inside the wind turbine generator 10 shown in FIG. 1 or may be provided outside the wind turbine generator 10 . 2 shows a configuration in which one monitoring device 50 monitors one rolling bearing 25 in order to simplify the explanation. However, the configuration is not limited to this configuration, and one monitoring device 50 may be configured to monitor the states of a plurality of rolling bearings 25 .

The rolling bearing 25 includes an inner ring 40 which is a rotating ring fitted on the main shaft 22, an outer ring 42 which is a fixed ring fitted on a housing (not shown), and a plurality of rollers arranged between the inner ring 40 and the outer ring 42. It includes a plurality of balls (rollers) that are rolling elements 41 and a retainer 43 that holds the rolling elements 41 so that they can roll. Further, in the rolling bearing 25, friction between the inner ring 40 and the rolling elements 41 and between the outer ring 42 and the rolling elements 41 is reduced by a predetermined lubrication method. Although the lubrication method is not particularly limited, for example, grease lubrication, oil lubrication, or the like is used. Also, the type of lubricant is not particularly limited.

A vibration sensor 27 is provided to detect vibrations generated from the rolling bearing 25 during rotation of the main shaft 22 . The vibration sensor 27 is fixed in the vicinity of the outer ring of the housing by bolting, bonding, bolting and bonding, embedding with a molding material, or the like. In addition, in the case of fixing with bolts, a detent function may be provided. Note that the vibration sensor 27 is not limited to being fixedly installed at the detection position, and may be installed at a position for detecting vibrations due to the rolling bearing 25 during state monitoring. Therefore, the vibration sensor 27 may be detachable or movable.

Also, the vibration sensor 27 may be any device capable of detecting vibration, and may be an acceleration sensor, an AE (Acoustic Emission) sensor, an ultrasonic sensor, a shock pulse sensor, or the like. Anything that can convert vibration into an electric signal, such as a mold, can be used. In addition, when attaching to the wind turbine generator 10 located in a noisy environment, it is more preferable to use the insulation type because it is less affected by noise. Furthermore, when the vibration sensor 27 uses a vibration detecting element such as a piezoelectric element, the element may be molded in plastic or the like.

Further, the rolling bearing 25 is provided with a rotation speed sensor 29 for detecting the rotation speed of the inner ring 40 fitted on the main shaft 22 . In this embodiment, the inner ring 40, which is a rotating ring, and the main shaft 22 have the same rotational speed and rotational speed. The rotation speed of the main shaft 22 may vary depending on the direction, amount, and pressure of the wind that the wind turbine generator 10 receives. Furthermore, the rotational speed can be regulated by a braking device (not shown). The rotation speed sensor 29 may detect the rotation speed by detecting an encoder (not shown) provided on the inner ring 40 of the rolling bearing 25, for example. The wind turbine generator 10 and the like according to this embodiment are rotated at a relatively low rotational speed. Therefore, the rotation speed sensor 29 is configured to detect changes in the rotation speed while the rolling bearing 25 rotates once. Note that the vibration sensor 27 and the rotational speed sensor 29 may be configured to perform detection operations only at specified timings (for example, monitoring time periods), or may be configured to perform detection operations all the time. good.

The amplifier 44 amplifies the electrical signal detected by the vibration sensor 27 and inputs it to the monitoring device 50 . Although the degree of amplification here is not particularly limited, it is defined in advance. The detection timings of the vibration sensor 27 and the rotation speed sensor 29 correspond to each other, and the detection information is processed in association with each other.

The monitoring device 50 may be realized by, for example, an information processing device including a control device, a storage device, and an input/output device (not shown). The control device may be composed of a CPU (Central Processing Unit), an MPU (Micro Processing Unit), a DSP (Digital Single Processor), a dedicated circuit, or the like. The storage device is composed of volatile and non-volatile storage media such as HDD (Hard Disk Drive), ROM (Read Only Memory), RAM (Random Access Memory), etc., and inputs and outputs various information according to instructions from the control device. It is possible. The input/output device notifies external devices and workers according to instructions from the control device. The output method by the input/output device is not particularly limited. For example, it may be an auditory notification by sound or a visual notification by screen output. Also, the input/output device may be a network interface having a communication function, and may perform various input/output operations by transmitting and receiving data with an external device (not shown) via a network (not shown).

The monitoring device 50 includes an A/D conversion section 51 , a sampling processing section 52 , a vibration signal processing section 53 and a monitoring processing section 54 . Each part may be implemented by reading out a corresponding program from the storage device and executing it by the control device described above. Furthermore, various functions may be realized by the control device controlling the input/output device.

The A/D converter 51 acquires the electrical signal detected by the vibration sensor 27 as vibration information via the amplifier 44, and performs A/D (Analog/Digital) conversion according to the contents of the electrical signal. conduct.

The sampling processing unit 52 extracts data from the vibration signal processed by the A/D conversion unit 51 to be used for the processing of the vibration signal processing unit 53 and the monitoring processing unit 54 in the latter stage, based on the data detected by the rotational speed sensor 29. Sample based on rotational speed. The sampling method here will be described later. The sampled data is output to the vibration signal processing section 53 .

The vibration signal processing unit 53 uses the data sampled by the sampling processing unit 52 to perform signal analysis processing. In the signal analysis processing, FFT (Fast Fourier Transform) analysis is performed, and then order ratio analysis is performed. Signal analysis processing may be performed by performing envelope processing, or filtering processing using a low-pass filter, band-pass filter, or the like. The monitoring processing unit 54 diagnoses the state of the rolling bearing 25 using the data processed by the vibration signal processing unit 53, and outputs the diagnosis result. For example, a part of the data processed by the vibration signal processing unit 53 may be extracted and the state may be diagnosed using the extracted data. Diagnosis items for state monitoring performed by the monitoring processing unit 54 are not particularly limited, but arbitrary diagnosis items such as abnormal contact, poor lubrication, and damage or deterioration of portions of the rolling bearing 25 may be selected. can be a target.

The monitoring result of the monitoring processing unit 54 may be notified to the outside via a network (not shown), or may control the operation of the wind turbine generator 10 . As the control of the operation of the wind turbine generator 10 here, for example, the rotation mechanism 14 may be controlled to adjust the orientation of the nacelle 12 (yaw control), or the hub 31 may be controlled to control the plurality of blades 32 . You may adjust each direction (pitch control). Also, a braking mechanism (not shown) may be used to control the rotation speed of the main shaft 22 to a predetermined speed.

[Sampling process]
In this embodiment, the rotational speed of the rolling bearing 25 can intermittently fluctuate due to external factors such as wind. When the rotation speed fluctuates, the frequency of vibration of each part of the rolling bearing 25 fluctuates, and the frequency used as the judgment reference cannot be determined, which affects the accuracy of subsequent monitoring operations and diagnostic operations. . Further, since the rotation speed is relatively slow in a wind power generator or the like, there is a high possibility that the rotation speed fluctuates during one rotation.

FIG. 3 is a schematic diagram for explaining data sampling according to the present embodiment. In FIG. 3, the vertical axis is vibration and the horizontal axis is time. Vibration corresponds to the value of the electrical signal converted by the A/D converter 51 .

In FIG. 3, two sections are taken as an example. The first section shows an example in which the rotational speed of the rolling bearing 25 is relatively slower than the second section. That is, the rotational speed of the rolling bearing 25 fluctuates. As shown in FIG. 3, sampling timing differs between the first section and the second section. This changes the sampling period according to the rotation speed so that the number of times of sampling per rotation (the number of data) is the same. ◯ shown in the graph of FIG. 3 indicates the position of the data to be sampled.

Note that the example of FIG. 3 shows an example in which the rotational speed changes after one rotation in the first interval and one rotation in the second interval is performed. In fact, since the rotation speed may fluctuate during one rotation, the sampling timing may fluctuate even during one rotation.

[Processing flow]
FIG. 4 is a flowchart of sampling processing according to this embodiment. This processing is executed by the monitoring device 50. For example, a control device (not shown) included in the monitoring device 50 reads out from the storage device and executes a program for realizing each part shown in FIG. you can

In S<b>401 , monitoring device 50 acquires vibration information detected by vibration sensor 27 . Thus, the means for acquiring the vibration information (or sound information) of the rolling bearing during rotation is referred to as the first acquisition means. A step of acquiring vibration information (or sound information) of the rolling bearing during rotation is defined as a first acquisition step.

At S<b>402 , monitoring device 50 acquires the rotational speed detected by rotational speed sensor 29 . Thus, the means for acquiring the rotational speed of the rolling bearing during rotation is referred to as second acquisition means. Also, the step of acquiring the rotational speed of the rolling bearing during rotation is referred to as a second acquiring step. The vibration information acquired in S401 and the rotational speed acquired in S402 are associated with detection timings.

At S403, the monitoring device 50 derives the timing of sampling based on the rotation speed acquired using the rotation speed sensor 29 at the process of S402 of FIG. As described above, the number of times of sampling per rotation of the rolling bearing 25 is defined, and the timing of sampling data varies according to the rotational speed. Here, the sampling timing is derived. More specifically, a sampling clock synchronized with the rotational speed is used to derive a constant number of samples per rotation. The derivation method may be derivation using a predetermined calculation formula, or may be derivation using a table or the like in which rotation speeds and sampling timings (time intervals, etc.) are associated with each other. In this way, derivation means is a means for deriving the timing of sampling data from vibration information or sound information in accordance with the rotation speed so that the number of samples per rotation of the rolling bearing is a predetermined value. A derivation step is a step of deriving a timing for sampling data from the vibration information or the sound information according to the rotation speed so that the number of samples per rotation of the rolling bearing is a predetermined value.

In S404, the monitoring device 50 amplifies the electrical signal detected by the vibration sensor 27 in S401 by the amplifier 44 according to the timing derived in S403, and inputs the vibration signal to the monitoring device 50. Sampling data from information. Thus, the means for sampling data from the vibration information (or sound information) based on the timing derived by the deriving means to generate monitoring data is referred to as the generating means. Also, a step of sampling data from vibration information (or sound information) to generate monitoring data based on the timing derived in the derivation step is defined as a generation step.

In S405, the monitoring device 50 performs signal analysis processing on the data sampled in S404. For the analysis processing here, for example, the vibration information may be subjected to FFT (Fast Fourier Transform) analysis, and then the order ratio analysis may be performed. The sampling data may be subjected to envelope analysis processing and filter processing, and the contents thereof may be changed according to the subsequent monitoring processing.

At S406, the monitoring device 50 monitors the state of the rolling bearing 25 using the result of the analysis processing at S405. The items to be monitored here are not particularly limited, but arbitrary diagnostic items such as abnormal contact, poor lubrication, damage or deterioration of parts, etc. of each part constituting the rolling bearing 25 may be targets. As for the monitoring items, for example, the frequency of each part of the rolling bearing 25 is calculated using the relational expression shown in FIG. Alternatively, it may be determined that there is no abnormality when the value is equal to or less than a predetermined threshold value.

In S407, the monitoring device 50 performs notification processing based on the result of the state monitoring processing in S406. Here, the notification may be performed when it is determined that an abnormality has occurred, or the configuration may be such that the notification is performed even when it is determined that there is no abnormality. Moreover, the notification method is not particularly limited, and the notification method may be switched according to the presence or absence of an abnormality. Then, this processing flow ends.

As described above, according to the present embodiment, it is possible to appropriately acquire the data for monitoring the state of the rolling bearing in an environment where the rotational speed can intermittently change. Moreover, since the rotational speed of the rolling bearing is relatively slow, even if the data acquisition time is long, the influence of fluctuations in the rotational speed during that time can be suppressed to appropriately extract monitoring data.

<Other embodiments>
In the above-described embodiment, the vibration sensor 27 is used to detect the vibration of the rolling bearing 25, but the present invention is not limited to this. A sound sensor including a microphone may be used instead of the vibration sensor 27 to detect sound information. In this case, the above-described data sampling processing is performed for sound information.

In addition, in the present invention, a program or application for realizing the functions of one or more embodiments described above is supplied to a system or device using a network or a storage medium, and one or more programs in the computer of the system or device It can also be implemented by a process in which the processor reads and executes the program.

It may also be implemented by a circuit that implements one or more functions (for example, ASIC (Application Specific Integrated Circuit) or FPGA (Field Programmable Gate Array)).

As described above, the present invention is not limited to the above-described embodiments, and those skilled in the art can make modifications and applications by combining each configuration of the embodiments with each other, based on the description of the specification and well-known techniques. It is also contemplated by the present invention that it falls within the scope of protection sought.

As described above, this specification discloses the following matters.
(1) A rolling bearing condition monitoring device comprising:
a first acquisition means for acquiring vibration information or sound information of the rolling bearing during rotation;
a second acquiring means for acquiring the rotational speed of the rolling bearing during rotation;
Derivation means for deriving timing for sampling data from the vibration information or the sound information according to the rotation speed so that the number of samples per rotation of the rolling bearing is a predetermined value;
generation means for generating monitoring data by sampling data from the vibration information or sound information based on the timing derived by the derivation means;
A condition monitoring device, characterized by comprising:
According to this configuration, it is possible to appropriately acquire the data for monitoring the state of the rolling bearing in an environment where the rotational speed can intermittently change. Further, as a result, for example, it is possible to accurately perform abnormality diagnosis of the rolling bearing targeting arbitrary diagnosis items such as abnormal contact of each part constituting the rolling bearing 25, poor lubrication, damage and deterioration of the part.

(2) The state according to (1), wherein the generating means generates the monitoring data by performing order ratio analysis on data sampled from the vibration information or sound information. surveillance equipment.
According to this configuration, it is possible to generate monitoring data for performing more accurate monitoring by performing the actual right-handed analysis using the data sampled according to the rotational speed.

(3) The condition monitoring apparatus according to (2), wherein the generating means further performs envelope analysis processing or filtering processing on the monitoring data.
According to this configuration, data to which envelope analysis processing and filtering processing are applied can be generated as data for monitoring.

(4) The condition monitoring apparatus according to (2) or (3), further comprising diagnostic means for diagnosing the condition of the rolling bearing using the monitoring data generated by the generating means. .
According to this configuration, it is possible to perform more accurate condition diagnosis using data sampled according to the rotation speed.

(5) the condition monitoring device according to any one of (1) to (4);
A wind turbine generator comprising a rolling bearing.
According to this configuration, in the wind turbine generator, even when the rotational speed changes intermittently, it is possible to appropriately acquire the data for monitoring the state of the rolling bearing.

(6) A rolling bearing condition monitoring method comprising:
a first acquiring step of acquiring vibration information or sound information of the rolling bearing during rotation;
a second acquisition step of acquiring a rotational speed of the rolling bearing during rotation;
a derivation step of deriving a timing for sampling data from the vibration information or the sound information according to the rotational speed so that the number of samples per rotation of the rolling bearing is a predetermined value;
a generation step of sampling data from the vibration information or the sound information based on the timing derived in the derivation step to generate data for monitoring;
A condition monitoring method, comprising:
According to this configuration, it is possible to appropriately acquire the data for monitoring the state of the rolling bearing in an environment where the rotational speed can intermittently change.

(7) to the computer,
a first acquiring step of acquiring vibration information or sound information of the rotating rolling bearing;
a second acquisition step of acquiring a rotational speed of the rolling bearing during rotation;
a derivation step of deriving a timing for sampling data from the vibration information or the sound information according to the rotational speed so that the number of samples per rotation of the rolling bearing is a predetermined value;
a generation step of sampling data from the vibration information or the sound information based on the timing derived in the derivation step to generate data for monitoring;
program to run the
According to this configuration, it is possible to appropriately acquire the data for monitoring the state of the rolling bearing in an environment where the rotational speed can intermittently change.

DESCRIPTION OF SYMBOLS 10... Wind power generator 11... Tower 12... Nacelle 13... Rotor 14... Rotation mechanism 21... Drive train part 22... Main shaft 23... Gearbox 24... Generator 25... Rolling bearing 27... Vibration sensor 28... Power generation amount measuring device 29 Rotation speed sensor 31 Hub 32 Blade 40 Inner ring 41 Rolling element 42 Outer ring 43 Cage 44 Amplifier 50 Monitoring device 51 A/D converter 52 Sampling processor 53 Vibration signal processor 54... Monitoring processing unit

Claims (7)

A rolling bearing condition monitoring device,
a first acquisition means for acquiring vibration information or sound information of the rolling bearing during rotation;
a second acquiring means for acquiring the rotational speed of the rolling bearing during rotation;
Derivation means for deriving timing for sampling data from the vibration information or the sound information according to the rotation speed so that the number of samples per rotation of the rolling bearing is a predetermined value;
generation means for generating monitoring data by sampling data from the vibration information or sound information based on the timing derived by the derivation means;
A condition monitoring device comprising: 2. The condition monitoring apparatus according to claim 1, wherein said generating means generates said monitoring data by performing order ratio analysis on data sampled from said vibration information or sound information. 3. The condition monitoring apparatus according to claim 2, wherein said generating means further performs envelope analysis processing or filtering processing on said monitoring data. 4. The condition monitoring apparatus according to claim 2, further comprising diagnostic means for diagnosing the condition of said rolling bearing using the monitoring data generated by said generating means. A condition monitoring device according to any one of claims 1 to 4;
A wind turbine generator comprising a rolling bearing. A rolling bearing condition monitoring method comprising:
a first acquiring step of acquiring vibration information or sound information of the rolling bearing during rotation;
a second acquisition step of acquiring a rotational speed of the rolling bearing during rotation;
a derivation step of deriving a timing for sampling data from the vibration information or the sound information according to the rotational speed so that the number of samples per rotation of the rolling bearing is a predetermined value;
a generation step of sampling data from the vibration information or the sound information based on the timing derived in the derivation step to generate data for monitoring;
A condition monitoring method, comprising: to the computer,
a first acquiring step of acquiring vibration information or sound information of the rotating rolling bearing;
a second acquisition step of acquiring a rotational speed of the rolling bearing during rotation;
a derivation step of deriving a timing for sampling data from the vibration information or the sound information according to the rotational speed so that the number of samples per rotation of the rolling bearing is a predetermined value;
a generation step of sampling data from the vibration information or the sound information based on the timing derived in the derivation step to generate data for monitoring;
program to run the

Images