CN109557467A - It is suitable for the intelligent Fault Diagnose Systems of a variety of motors based on VxWorks platform - Google Patents
It is suitable for the intelligent Fault Diagnose Systems of a variety of motors based on VxWorks platform Download PDFInfo
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- CN109557467A CN109557467A CN201811454001.8A CN201811454001A CN109557467A CN 109557467 A CN109557467 A CN 109557467A CN 201811454001 A CN201811454001 A CN 201811454001A CN 109557467 A CN109557467 A CN 109557467A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/34—Testing dynamo-electric machines
- G01R31/343—Testing dynamo-electric machines in operation
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- Tests Of Circuit Breakers, Generators, And Electric Motors (AREA)
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Abstract
The present invention relates to a kind of intelligent Fault Diagnose Systems for being suitable for a variety of motors based on VxWorks platform, it is characterized by: installing corresponding sensor on different monitoring positions according to the type of motor, the multi pass acquisition to characteristic quantities such as the current signal of multiple types motor, vibration signal, temperature signal and acceleration signals is completed.After carrying out fusion treatment to various features amount, the resultant fault diagnostic method combined according to these characteristic quantities using random forest, the least square method supporting vector machine of ant group optimization, optimum binary tree, reasoning by cases scheduling algorithm, the accuracy for improving fault diagnosis, ultimately produces fault diagnosis report.The present invention, which uses, has high reliability, the operating system of Scalability and high real-time, has the characteristics that WebServer service, supports a variety of communication protocols and maintenance easy to install, meets the needs of to motor status maintenance.
Description
Technical field
The present invention relates to the technical fields of motor, are especially related to the on-line monitoring and failure of a variety of motors to thermal power plant
Diagnostic system.
Background technique
Motor is the electromagnetic and mechanical device in a kind of energy converting between mechanical or signal conversion, and motor is especially in engineering field
It is widely used in thermal power plant, and many kinds of, such as hydrogenerator, steam turbine generator, suction ventilator, pressure fan, row's powder
Machine, coal pulverizer, booster fan, feed pump etc., motor are a kind of one of vital equipment key equipment in modern industry.
So the operating status of motor directly influences the overall operation efficiency and quality of application field, to influence the life of people indirectly
It produces and lives.So to motor operating state carry out on-line monitoring and fault diagnosis exclude motor operation failure in time and seem outstanding
Its is important.
Motor on-Line Monitor Device traditional at present often is not easy to carry using ammeter, voltmeter etc. than cumbersome
Original instrument, this can not only make maintenance personal's equipment routing inspection heavy workload, also can because error in reading greatly then influence failure examine
Disconnected result；Diagnostic system of motor fault and monitoring instrument are many kinds of at present, but these systems and instrument are mostly to diagnosing motor
Type, method for diagnosing faults and use function are relatively simple, cannot preferably be suitable for the fault diagnosis of a variety of motors；It is not right
Multi-source heterogeneous data are merged and are established the diagnostic characteristic amount of various dimensions, so that the validity of fault diagnosis result is reduced,
Therefore the normal operation for how guaranteeing motor, the utilization rate for improving motor, reduce maintenance cost to the overall operation efficiency of enterprise,
Quality and safety in production important in inhibiting.
Summary of the invention
The problem of a variety of motors cannot be applicable in the present invention be directed to the on-line monitoring of present motor and fault diagnosis system, with
And it the diagnosing motor type for present motor on-Line Monitor Device, method for diagnosing faults and is asked using function is relatively simple
Topic proposes a kind of based on the intelligent Fault Diagnose Systems for being suitable for a variety of motors.
By on a variety of motor circuits electric current and a variety of motors rotate when, the three-dimensional vibrating waveform of motor, vibration
The characteristic quantities such as amplitude, vibration severity carry out real-time monitoring, by establishing Diagnosing Faults of Electrical model, using random forest, ant colony
The resultant fault diagnosis that least square method supporting vector machine, reasoning by cases and the optimal binary decision tree scheduling algorithm of optimization combine
Whether method, the operating status for being diagnosed to be a variety of motors promptly and accurately break down, and judge fault type, and generate diagnosis
Data are uploaded to remote server using IEC61850 communication protocol by Ethernet by report, and user can also be logical in client
It crosses browser or mobile phone A pp accesses.
In order to achieve the above-mentioned object of the invention, the technical solution adopted by the present invention are as follows: one kind is suitable for based on VxWorks platform
The intelligent Fault Diagnose Systems of a variety of motors, it includes: data measurement module, control module, fault diagnosis module, defect knowledge
Library module, communication module, WebServer service module.
The data measurement module includes voltage transformer, current transformer, temperature sensor, acceleration transducer,
Middle voltage transformer, current transformer are placed on motor stator, and temperature sensor is placed at electric machine stator iron, acceleration
Sensor is placed on motor case；The data measurement module and control module include Power PC Processor chip,
VxWorks image file, flash memory, can interface circuit, Wireless/wired transmission circuit, power circuit, and concentrate on
On one piece of circuit board, presented with the device of small-sized maintenance easy to install；The communication module, can interface circuit, Wireless/wired biography
Transmission of electricity road is, it can be achieved that device is exchanged by wired, wireless between a variety of communication protocols and different sensors, short distance, at a distance
Data；The WebServer service module can realize that user is accessed in client by browser or mobile phone A pp.
The fault diagnosis module, for the first time by basic data data (manufacture and shop test, transport, installation and equipment
The data such as safe operation record) it is classified as Diagnosing Faults of Electrical input feature vector value, follow Fault Analysis of Driving Motor process to carry out motor
Comprehensive diagnostic analysis, while diagnostic analysis also is carried out to device operation/communications status.The Diagnosing Faults of Electrical process includes fortune
Row information, signal analysis, fault diagnosis, diagnosis report.The signal analysis includes the three-dimensional vibrating waveform diagram of motor, frequency spectrum
Figure, throw, vibration amplitude and harmonic frequency relationship amplitude table.The fault diagnosis includes degradation assessment, fault type
Diagnosis, maintenance are suggested.
The fault type diagnosis is using random forest, the least square method supporting vector machine of ant group optimization and reasoning by cases etc.
The resultant fault diagnostic mode that algorithm combines；Different diagnostic results is obtained to using different diagnostic methods, further according to prior
Setting specific weight values optimize screening using optimal binary decision tree, to improve the validity of diagnosis.
It includes: the whole deterioration assessment of vibration that the degradation, which is assessed, each position of harmonic wave deteriorates assessment, comprehensive deterioration is commented
Estimate；
The fault type diagnosis includes vibration diagnosis result, harmonic wave diagnostic result；
The diagnosis report includes essential information, degradation assessment, fault type, maintenance suggestion.
The present invention:
1) on a variety of motor circuits electric current and a variety of motors rotate when, the three-dimensional vibrating waveform of motor, vibration width
The various features amount such as value, vibration severity carries out real-time monitoring and acquisition.
2) various features amount signal is analyzed, the three-dimensional vibrating waveform diagram, spectrogram, vibration amplitude including motor with
The amplitude table of harmonic frequency relationship.
3) using random forest, the least square method supporting vector machine of ant group optimization and reasoning by cases scheduling algorithm to various features
Amount carries out fault diagnosis.
4) for it is described 3) in obtain different diagnostic results, determined further according to prior setting specific weight values using optimal y-bend
Plan tree optimizes screening, finally obtains effective fault diagnosis conclusion；
5) user carries out real-time running state, the failure of long-range monitoring motor in client by browser or mobile phone A pp
Type and fault diagnosis result.
The present invention that realizes according to the above technical scheme the beneficial effect is that:
The present invention is based on the intelligent Fault Diagnose Systems that VxWorks platform is suitable for a variety of motors, not using operating system
Only realize the access to multiple types motor, and be easy to software upgrading and Function Extension that there is stronger flexibility, intelligence
Property, reliability, and the features such as device shape is small, is easily installed, and has a wide range of application, at low cost, it preferably resolves to electric machinery
Type, method for diagnosing faults and the problem relatively simple using function.
The present invention uses random forest, the least square method supporting vector machine of ant group optimization, reasoning by cases and optimal y-bend
The resultant fault diagnostic mode that decision tree scheduling algorithm combines, greatly improves the accuracy of fault diagnosis result.
The present invention proposes function WebServer service function, and user is accessed in client by browser or cell phone application
, meet long-range management requirement and meet to motor status maintenance requirement, has broad popularization and application prospect.
Detailed description of the invention
Fig. 1 is the structural schematic diagram of the intelligent Fault Diagnose Systems based on VxWorks of the embodiment of the present invention.
Fig. 2 is the Fault Analysis of Driving Motor flow chart of the embodiment of the present invention.
Specific embodiment
To make the objectives, technical solutions, and advantages of the present invention clearer, with reference to the accompanying drawing, to the present invention make into
The detailed description of one step, specific embodiment described herein are used only for explaining the embodiment of the present invention, and the limit of non-present invention
It is fixed.It is further to note that only illustrate in order to be beneficial to describe, in attached drawing to the relevant part of the embodiment of the present invention and
Not all structure.
As shown in Figure 1, being suitable for the intelligent Fault Diagnose Systems of a variety of motors based on VxWorks platform, include following step
It is rapid:
1) as shown in Figure 1, being suitable for the intelligent Fault Diagnose Systems structural representation of a variety of motors based on VxWorks platform
Figure.Its primary structure includes voltage transformer, current transformer, temperature sensor, acceleration transducer, wherein mutual induction of voltage
Device, current transformer, are mounted on the stator of motor, for measuring the voltage and electric current of motor operation.Temperature sensor peace
In the stator core of motor, for measuring temperature when motor operation.Acceleration transducer is mounted on the casing of motor,
Vibration Condition when for measuring motor operation, on three-dimensional.
2) output end of each sensor is connected by AD analog-to-digital conversion interface of the shielding line with connector respectively at device,
For the processing and transmission to acquisition various features value.First produce image file, then in advance by the essential information of various motors,
Fault diagnosis model typing embedded database, SD card memory storage collect the characteristic value and diagnostic result of motor.
3) further, characteristic value is analyzed, can be checked by Web browser electric current when the operation of motor,
Voltage, temperature and vibration information.It may browse through three-dimensional vibrating waveform diagram, spectrogram, vibration amplitude and the harmonic frequency of motor
The amplitude table of relationship.
4) further, to characteristic value carry out fault diagnosis, using the least square of random forest, ant group optimization support to
Amount machine, optimal binary decision tree and reasoning by cases scheduling algorithm carry out fault diagnosis to various features amount respectively.
5) further, for it is described 4) in acquired different diagnostic result, adopted further according to prior setting specific weight values
Screening is optimized to diagnostic result with optimal Binary decision tree algorithm, finally obtains effective fault diagnosis conclusion.
6) further, diagnostic result is intended to and is confirmed whether to store, preferably to make Diagnosing Faults of Electrical
Model has adaptive and self-teaching ability, and establishes reliable fault diagnosis model database.
7) further, this system can automatically generate diagnosis report, and diagnosis report will be divided into diagnostic result in basic letter
Four major class are suggested in breath, degradation assessment, fault type, maintenance.Wherein degradation assessment is divided into three classes again shows: vibration
Dynamic whole deterioration assessment, each position deterioration assessment of harmonic wave, comprehensive deterioration assessment.Fault type diagnosis be divided into vibration diagnosis result,
Two class form of harmonic wave diagnostic result.
8) when breaking down for motor, the alarm setting of Web page will provide alarm prompt, and staff is combinable
Diagnosis report takes corresponding measure to failure in time.
9) it characteristic value or is examined by Ethernet/local area network using IEC61850 communication protocol according to practical engineering application
Disconnected result is uploaded to remote server.
The implementation described above is used to be illustrated the technical solution that the present invention describes, and limits it not as only
One embodiment.For it will be appreciated by those skilled in the art that simultaneously still can be to the specific embodiment party of invention
Formula improves or equivalent replacement, these modifications or equivalent replacement also should be regarded as in scope of the presently claimed invention.
Claims (10)
1. being suitable for the intelligent Fault Diagnose Systems of a variety of motors based on VxWorks platform, it is characterised in that: it includes that data are surveyed
Module, control module, fault diagnosis module, defect knowledge base module, communication module, WebServer service module are measured, according to electricity
The type of machine installs the corresponding data measurement module on different monitoring positions, and the sensor of the data measurement module is completed
To the multi pass acquisition of the characteristic quantities such as the current signal of multiple types motor, vibration signal, temperature signal and acceleration signal, warp
It crosses after carrying out fusion treatment to various features amount, resultant fault diagnosis side is used according to fault diagnosis module described in these characteristic quantities
Method generates fault diagnosis report.
2. the intelligent Fault Diagnose Systems according to claim 1 for being suitable for a variety of motors based on VxWorks platform, special
Sign is: the data measurement module includes voltage transformer, current transformer, temperature sensor, acceleration transducer, wherein
Voltage transformer, current transformer are placed on motor stator, for measuring the voltage and electric current of motor operation；Temperature sensing
Device is placed at electric machine stator iron, for measuring temperature when motor operation；Acceleration transducer is placed on motor case,
Vibration Condition when for measuring motor operation, on three-dimensional；
The output end of each sensor is connected by AD analog-to-digital conversion interface of the shielding line with connector respectively at device, is used for pair
Acquire the processing and transmission of various features value；VxWorks image file is first produced, then in advance by the basic letter of various motors
Breath, fault diagnosis model typing embedded database, memory storage collect the characteristic value and diagnostic result of motor；
The data measurement module and control module include Power PC Processor chip, VxWorks image file, flash storage
Device, can interface circuit, Wireless/wired transmission circuit, power circuit, and concentrate on one piece of circuit board, with small-sized easy to install
The device of maintenance is presented；
The communication module, can interface circuit, Wireless/wired transmission circuit, it can be achieved that device by a variety of communication protocols with not
With it is wired between sensor, wireless, closely, exchange data at a distance；The WebServer service module can realize that user exists
Client is accessed by browser or mobile phone A pp.
3. the intelligent Fault Diagnose Systems according to claim 2 for being suitable for a variety of motors based on VxWorks platform, special
Sign is: the fault diagnosis module, and by basic data data, (manufacture and shop test, transport, installation and equipment are pacified for the first time
The data such as full log) it is classified as Diagnosing Faults of Electrical input feature vector value, follow Fault Analysis of Driving Motor process to carry out motor complete
Face diagnostic analysis, while diagnostic analysis also is carried out to device operation/communications status.
4. the intelligent Fault Diagnose Systems according to claim 3 for being suitable for a variety of motors based on VxWorks platform, special
Sign is:
The Diagnosing Faults of Electrical process includes operation information, signal analysis, fault diagnosis, diagnosis report.
5. the intelligent Fault Diagnose Systems according to claim 4 for being suitable for a variety of motors based on VxWorks platform, special
Sign is:
The signal analysis includes three-dimensional vibrating waveform diagram, spectrogram, throw, vibration amplitude and the harmonic frequency relationship of motor
Amplitude table.
6. the intelligent Fault Diagnose Systems according to claim 4 for being suitable for a variety of motors based on VxWorks platform, special
Sign is:
The fault diagnosis includes degradation assessment, fault type diagnosis, maintenance suggestion.
7. the intelligent Fault Diagnose Systems according to claim 6 for being suitable for a variety of motors based on VxWorks platform, special
Sign is: fault type diagnosis using random forest, the least square method supporting vector machine of ant group optimization, optimum binary tree and
The resultant fault diagnostic mode that reasoning by cases scheduling algorithm combines；Different diagnostic results is obtained to using different diagnostic methods,
Screening is optimized using optimal binary decision tree further according to prior setting specific weight values, to improve the validity of diagnosis.
8. the intelligent Fault Diagnose Systems according to claim 6 for being suitable for a variety of motors based on VxWorks platform, special
Sign is:
The degradation assessment includes: the whole deterioration assessment of vibration, each position deterioration assessment of harmonic wave, comprehensive deterioration assessment.
9. the intelligent Fault Diagnose Systems according to claim 6 for being suitable for a variety of motors based on VxWorks platform, special
Sign is:
The fault type diagnosis includes vibration diagnosis result, harmonic wave diagnostic result.
10. the intelligent Fault Diagnose Systems according to claim 6 for being suitable for a variety of motors based on VxWorks platform,
It is characterized in that:
The diagnosis report includes essential information, degradation assessment, fault type, maintenance suggestion.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811454001.8A CN109557467A (en) | 2018-11-30 | 2018-11-30 | It is suitable for the intelligent Fault Diagnose Systems of a variety of motors based on VxWorks platform |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201811454001.8A CN109557467A (en) | 2018-11-30 | 2018-11-30 | It is suitable for the intelligent Fault Diagnose Systems of a variety of motors based on VxWorks platform |
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| CN109557467A true CN109557467A (en) | 2019-04-02 |
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| CN201811454001.8A Pending CN109557467A (en) | 2018-11-30 | 2018-11-30 | It is suitable for the intelligent Fault Diagnose Systems of a variety of motors based on VxWorks platform |
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Cited By (1)
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| CN110058103A (en) * | 2019-05-23 | 2019-07-26 | 国电南京自动化股份有限公司 | Intelligent transformer fault diagnosis system based on Vxworks platform |
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Application publication date: 20190402 |
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