CN102937460A - Fault diagnosis system for rotating machinery - Google Patents
Fault diagnosis system for rotating machinery Download PDFInfo
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- CN102937460A CN102937460A CN2012104369232A CN201210436923A CN102937460A CN 102937460 A CN102937460 A CN 102937460A CN 2012104369232 A CN2012104369232 A CN 2012104369232A CN 201210436923 A CN201210436923 A CN 201210436923A CN 102937460 A CN102937460 A CN 102937460A
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- fault
- diagnosis system
- fault diagnosis
- rotating machinery
- sensor
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- 238000003745 diagnosis Methods 0.000 title claims abstract description 33
- 238000004891 communication Methods 0.000 claims abstract description 11
- 238000005070 sampling Methods 0.000 claims description 9
- 238000012544 monitoring process Methods 0.000 abstract description 4
- 238000001228 spectrum Methods 0.000 abstract description 2
- 238000010183 spectrum analysis Methods 0.000 abstract description 2
- 238000005299 abrasion Methods 0.000 abstract 2
- 238000002405 diagnostic procedure Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000000034 method Methods 0.000 description 1
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Abstract
The invention discloses a fault diagnosis system for rotating machinery. The fault diagnosis system comprises an imbalance fault sensor, a rotor asymmetric fault sensor, a loose fault sensor, an abrasion fault sensor, a signal processing unit, a communication unit and a central control unit. According to the f fault diagnosis system for rotating machinery, online monitoring protection and analysis can be performed on rotating mechanical equipment in the industrial field, real-time signal acquisition and recording can be performed on the equipment, equipment administrators are helped to learn equipment operation conditions and abrasion tendencies in real time, and long-time recording can provide equipment diagnosis to perform spectral analysis and can be compared with wave forms and frequency spectrums during faults.
Description
Technical field
The invention belongs to the rotary machinery fault diagnosis field, relate in particular to a kind of fault diagnosis system of rotating machinery.
Background technology
Equipment is in operation, and can produce various faint signals.When equipment had fault, these faint signals will show fault signature.Waveform is the necessary data of equipment fault diagnosis.Equipment being carried out not only need to record numerical value in the diagnostic procedure, the more important thing is waveform, it has comprised the pattern feature of equipment failure.And the Wave data during device fails can not reproduce.If the reason that therefore needs analytical equipment to break down makes equipment recover normal operation, just need the recording unit fault that the characteristic signal of front and back occurs.Also need for a long time equipment to be carried out status monitoring, the signal contrast when carrying out fault during with normal operation is carried out the diagnosis of equipment.
Summary of the invention
The object of the present invention is to provide a kind of fault diagnosis system of rotating machinery.
The technical scheme that realizes above-mentioned purpose is:
A kind of fault diagnosis system of rotating machinery comprises imbalance fault sensor, rotor unbalanced fault sensor, looseness fault sensor and tribological failure sensor, signal processing unit, communication unit and central control unit.
The fault diagnosis system of above-mentioned rotating machinery, wherein, described imbalance fault sensor can be finished sampling to the imbalance fault signal for any type of device, module and circuit, and outputting analog signal converts digital signal to by A/D and sends signal processing unit to.
The fault diagnosis system of above-mentioned rotating machinery, wherein, described rotor unbalanced fault sensor can be finished sampling to rotor unbalanced fault signal for any type of device, module and circuit, and outputting analog signal converts digital signal to by A/D and sends signal processing unit to.
The fault diagnosis system of above-mentioned rotating machinery, wherein, described looseness fault sensor can be finished sampling to rotor looseness fault signal for any type of device, module and circuit, outputting analog signal converts digital signal to by A/D and sends signal processing unit to.
The fault diagnosis system of above-mentioned rotating machinery, wherein, described tribological failure sensor can be finished sampling to the friction rotor fault-signal for any type of device, module and circuit, outputting analog signal converts digital signal to by A/D and sends signal processing unit to.
The fault diagnosis system of above-mentioned rotating machinery, wherein, described signal processing unit can be realized the fault-signal processing capacity for any type of CPU, carries out on-line fault diagnosis.
The fault diagnosis system of above-mentioned rotating machinery, wherein, described communication unit can be any type of remote communication module, sends field data and fault diagnosis result to central control unit.
The present invention can carry out on-line monitoring protection and analysis to the rotating machinery in the industrial circle; equipment is carried out live signal collection and record; understand in real time machine operation and loss trend for equipment management personnel; long record can be carried out spectrum analysis for the diagnosis of equipment, and waveform and frequency spectrum in the time of also can be with fault compare.
Description of drawings
Fig. 1 is structural representation of the present invention.
Embodiment
The invention will be further described below in conjunction with accompanying drawing.
See also Fig. 1, there is shown a kind of fault diagnosis system teaming method of rotating machinery, it comprises imbalance fault sensor 1, rotor unbalanced fault sensor 2, looseness fault sensor 3 and tribological failure sensor 4, signal processing unit 5, communication unit 6 and central control unit 7.
In this example, imbalance fault sensor 1 adopts HD-YD-216, and rotor unbalanced fault sensor 2 adopts HD-YD-215, and loosening sensor 3 adopts HD-YD-213, and tribological failure sensor 4 adopts HD-YD-112.
The signal processing circuit that signal processing unit 5 adopts take DSP 2812 chips as core, communication unit 6 adopts industrial CAN module communication, and central control unit 7 adopts the E7400 industrial computer.
Each sensor is finished the sampling of fault-signal, converts digital signal to and sends signal processing unit 5 to.5 pairs of fault-signal processing capacities of signal processing unit are carried out on-line fault diagnosis.Then the CAN bus by communication unit 6 sends field data and fault diagnosis result to central control unit 7.Central control unit 7 carries out centralized stores and analysis.
Principle of the present invention is: utilize the parallel processing capability of processor, data and the result of a plurality of unit transmitted fast, reach rotating machinery is carried out live signal collection and record and on-line monitoring protection and analyzes.
Below embodiment has been described in detail the present invention by reference to the accompanying drawings, and those skilled in the art can make the many variations example to the present invention according to the above description.Thereby some details among the embodiment should not consist of limitation of the invention, and the scope that the present invention will define with appended claims is as protection scope of the present invention.
Claims (7)
1. the fault diagnosis system of a rotating machinery is characterized in that, comprises imbalance fault sensor, rotor unbalanced fault sensor, looseness fault sensor and tribological failure sensor, signal processing unit, communication unit and central control unit.
2. the fault diagnosis system of rotating machinery according to claim 1, it is characterized in that, described imbalance fault sensor, can finish sampling to the imbalance fault signal for any type of device, module and circuit, outputting analog signal converts digital signal to by A/D and sends signal processing unit to.
3. the fault diagnosis system of rotating machinery according to claim 1, it is characterized in that, described rotor unbalanced fault sensor, can finish sampling to rotor unbalanced fault signal for any type of device, module and circuit, outputting analog signal converts digital signal to by A/D and sends signal processing unit to.
4. the fault diagnosis system of rotating machinery according to claim 1, it is characterized in that, described looseness fault sensor, can finish sampling to rotor looseness fault signal for any type of device, module and circuit, outputting analog signal converts digital signal to by A/D and sends signal processing unit to.
5. the fault diagnosis system of rotating machinery according to claim 1, it is characterized in that, described tribological failure sensor, can finish sampling to the friction rotor fault-signal for any type of device, module and circuit, outputting analog signal converts digital signal to by A/D and sends signal processing unit to.
6. the fault diagnosis system of rotating machinery according to claim 1 is characterized in that, described signal processing unit can be realized the fault-signal processing capacity for any type of CPU, carries out on-line fault diagnosis.
7. the fault diagnosis system of rotating machinery according to claim 1 is characterized in that, described communication unit can be any type of remote communication module, sends field data and fault diagnosis result to central control unit.
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CN2012104369232A CN102937460A (en) | 2012-11-06 | 2012-11-06 | Fault diagnosis system for rotating machinery |
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CN2012104369232A CN102937460A (en) | 2012-11-06 | 2012-11-06 | Fault diagnosis system for rotating machinery |
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Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103267632A (en) * | 2013-04-24 | 2013-08-28 | 广东石油化工学院 | Combined device and method for diagnosing and testing combination faults for large petrochemical units |
CN104034369A (en) * | 2014-06-23 | 2014-09-10 | 康吉诺(北京)科技有限公司 | Fault diagnosis analyzer |
CN109470437A (en) * | 2018-10-19 | 2019-03-15 | 临沂矿业集团有限责任公司 | A kind of ground installation sensory perceptual system |
CN111238958A (en) * | 2020-01-22 | 2020-06-05 | 上海电力大学 | A rotating machinery bending fault detection device |
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US20070067078A1 (en) * | 2005-09-16 | 2007-03-22 | Salman Mutasim A | State-of-health monitoring and fault diagnosis with adaptive thresholds for integrated vehicle stability system |
CN101451898A (en) * | 2009-01-13 | 2009-06-10 | 华北电力大学 | Steam-electric generating set rotor thermal bending unbalance fault real time diagnostic method |
CN101545824A (en) * | 2008-03-25 | 2009-09-30 | 唐德尧 | Fault diagnosis technology for mechanical tower |
CN102052963A (en) * | 2010-11-16 | 2011-05-11 | 郑州大学 | Data acquisition device for vector spectrum analysis on vibration signals |
CN102252713A (en) * | 2011-05-06 | 2011-11-23 | 华北电力大学(保定) | Multiparameter state monitoring system for rotation unit |
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2012
- 2012-11-06 CN CN2012104369232A patent/CN102937460A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
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US20070067078A1 (en) * | 2005-09-16 | 2007-03-22 | Salman Mutasim A | State-of-health monitoring and fault diagnosis with adaptive thresholds for integrated vehicle stability system |
CN101545824A (en) * | 2008-03-25 | 2009-09-30 | 唐德尧 | Fault diagnosis technology for mechanical tower |
CN101451898A (en) * | 2009-01-13 | 2009-06-10 | 华北电力大学 | Steam-electric generating set rotor thermal bending unbalance fault real time diagnostic method |
CN102052963A (en) * | 2010-11-16 | 2011-05-11 | 郑州大学 | Data acquisition device for vector spectrum analysis on vibration signals |
CN102252713A (en) * | 2011-05-06 | 2011-11-23 | 华北电力大学(保定) | Multiparameter state monitoring system for rotation unit |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103267632A (en) * | 2013-04-24 | 2013-08-28 | 广东石油化工学院 | Combined device and method for diagnosing and testing combination faults for large petrochemical units |
CN104034369A (en) * | 2014-06-23 | 2014-09-10 | 康吉诺(北京)科技有限公司 | Fault diagnosis analyzer |
CN104034369B (en) * | 2014-06-23 | 2016-06-01 | 康吉诺(北京)科技有限公司 | A kind of Analysis on Fault Diagnosis instrument |
CN109470437A (en) * | 2018-10-19 | 2019-03-15 | 临沂矿业集团有限责任公司 | A kind of ground installation sensory perceptual system |
CN111238958A (en) * | 2020-01-22 | 2020-06-05 | 上海电力大学 | A rotating machinery bending fault detection device |
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Application publication date: 20130220 |