CN1912930A - Subsway rail car pulling circuit fault diagnosis system based on wave form identification - Google Patents
Subsway rail car pulling circuit fault diagnosis system based on wave form identification Download PDFInfo
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Abstract
This invention relates to a fault diagnosis system for underground locomotives traction circuit based on waveform identification, the output load of a tested traction circuit and standard load, in which, an embedded controlling machine picks up voltage input from both ends of the standard load, the end voltage of which is input into the input end of a data collector at the fore front of the controlling machine, the output end of which is connected with the input of an A/D converter, the output of which is connected with the write-in port of a data buffer storage, the numerate port of the buffer storage is connected with the readin port of a central processor, the fault database module of the tested circuit , the recording sign buffer storage, a software packet nodule based on a waveform identification algorithm realize dual way interaction by data bus and the central processor and the output of which is connected with the display output device by VGA.
Description
Technical field
The present invention relates to a kind of system of track traffic technical field, specifically is a kind of underground engines pulliung circuit fault diagnosis system based on waveform recognition.
Background technology
Electric locomotive has become widely used subway train traction power car day by day, the power electronic equipment of locomotive inside is the core component of underground engines, the probability of happening overwhelming majority of locomotive operation fault all concentrates on the power electronic equipment, simultaneously, relevant operating agency needs to grasp in real time the failure-free operation cycle of locomotive, also must be regularly wherein power electronic equipment be carried out forecast analysis, therefore, the real-time detection of Power Electronic Circuit in the subway locomotive traction circuit and device thereof and fault diagnosis are become naturally guarantee the necessary gordian technique of underground engines safe operation.
Because power electronic equipment occurs as power supply or topworks usually, the reliability of total system had important and even conclusive effect in trailer system.Power electronic equipment in the underground engines has singularity again, because the object of its institute's transmission is high power direct-current motor or AC motor.The dynamic effect that is produced when dragging huge mechanical system for powerful transmission object like this is very complicated, so fault type and character that power electronic equipment may occur also are multifarious.
Usually said power electronic equipment fault generally means the fault of its main circuit, and it can be divided into parameter fault and structural failure.The parameter fault refers to that it adopts parameter identification to diagnose usually owing to circuit parameter (as inductance value, capacitance etc.) departs from the fault that the normal value certain limit causes.Structural failure refers to owing to power electronic devices short circuit occurs, opens circuit or trigger pip is lost the fault that causes circuit topology to change.Generally speaking, the operations staff is difficult in and judges fault element and/or position in the short time that has a power failure from breaking down to, even veteran personnel also may be subjected to the extraneous factor influence and mistaken diagnosis.
With regard to current research situation, all be confined to indivedual physical circuits at the fault diagnosis of power electronic equipment, therefore be difficult to satisfy the needs of real-time diagnosis, and versatility is not strong, more is difficult to apply.
Find that by prior art documents document " remote monitoring of universal electric power electronic equipment and fault diagnosis system design studies " (Ma Hao, answer turnip luxuriant " computer engineering and application " the 8th phase in 2004) has been introduced the author and adopted the mode of network service to realize the detection of remote power electronic system duty performance and fault thereof and the mentality of designing of diagnosis.Wherein, be, think to show the fault of most of power electronic systems on the acquired signal state, be out-of-limit (as overvoltage, under-voltage, overcurrent, the excess temperature etc.) of analog quantity and the displacement of switching value (as tripping operation etc.) the basic ideas of system fault diagnosis; The signal that fault signature is meant the reflection failure symptom is handled failure mode, position, and the comprehensive amount of degree of the reflection equipment of back gained and system through processing.System has taked the frame mode of secondary diagnosis, promptly end carries out on the basis of data-signal Realtime Alerts and line real time diagnosis at the scene, possible fault data is write down and is uploaded to central server, for the strange land user's download, call the off-line diagnostic routine and carry out strange land off-line diagnosis, realize the combination of local inline diagnosis and long-range off-line diagnosis.The said system design has certain feasibility and validity, but, from function that system realizes as can be seen: 1,, still do not possess the ability that the Power Electronic Circuit internal fault is diagnosed only to the duty of power electronic system and fault detects and fault diagnosis; 2, diagnostic function is very limited, and still needing for complex fault relies on secondary to call the off-line diagnostic routine to carry out strange land off-line diagnosis; 3, realize remote data transmission by network, this is a very proven technique, is not the place of the key of Fault Diagnosis of Power Electronic Circuits.
Summary of the invention
The objective of the invention is to overcome deficiency of the prior art, propose a kind of underground engines pulliung circuit fault diagnosis system based on waveform recognition.The perfect information analysis that achieves output waveform only need detect its output waveform, need not other additional parameter, and calculating process is very simplified, and fault verification is accurate, localization of fault is accurate.
The present invention is achieved by the following technical solutions, the present invention includes: tested underground engines pulliung circuit, standard termination, built-in industrial control machine, the output loading and the standard termination of tested underground engines pulliung circuit, built-in industrial control machine is from the two ends pick-up voltage input of standard termination.
Described built-in industrial control machine comprises: data acquisition unit, A/D converter, data buffer, central processing unit, circuit-under-test fault data library module, record mark buffer memory, based on waveform recognition algorithm software bag module, show follower.The terminal voltage of standard termination inputs to the data acquisition unit data-in port of forefront in the built-in industrial control machine, the output terminal of data acquisition unit is connected with the A/D converter input end, the output terminal of A/D converter is connected with the inlet of writing of data buffer, the readout window of data buffer is connected with the mouth that reads in of central processing unit, circuit-under-test fault data library module, the record mark buffer memory, all by the two-way interactive of data bus and central processing unit realization data and instruction, the output of central processing unit is connected with the demonstration follower by VGA based on waveform recognition algorithm software bag module.
Described standard termination, detection load as tested underground engines pulliung circuit, working environment according to standard powers on to tested underground engines pulliung circuit, and built-in industrial control machine detects the output voltage waveforms that obtains tested underground engines pulliung circuit from the two ends of standard termination.Output voltage waveforms is at first gathered by data acquisition unit, behind A/D converter, change data buffer over to, after data acquisition unit collection output waveform is all over, central processing unit has called based on waveform recognition algorithm software bag, and reads output waveform data focus on from data buffer.Based on waveform recognition algorithm software bag module the fault waveform in output voltage waveforms and the circuit-under-test fault data library module is mated, in the similarity allowed band of determining, calculate and obtain similarity the maximum, assert that promptly the fault that tested underground engines pulliung circuit occurs at this moment belongs to shown fault type and the character of this record in the database, and accurately point out the position (comprising device and circuit) of trouble spot.When utilizing the present invention to carry out the field conduct detection, standard termination is the load of train prototype; When utilizing simulated experiment platform that tested underground engines pulliung circuit is detected, standard termination is the semi-physical object simulating dummy load, the principle of similitude according to machinery inertial and drive of motor characteristic is made, and utilizes the load of semi-physical object simulating simulation standard can simulate the duty of tested underground engines pulliung circuit under the train operation operating mode entirely.
Described data acquisition unit is born the conditioning of signal and filtering to obtain the tested voltage waveform signal of high s/n ratio.When moving the scene and carry out online detection, the data acquisition unit input interface that walks abreast is directly accepted the output signal from the locomotive circuit-under-test.
Described data buffer, be to carry out for data acquisition is separated with the waveform recognition computing, promptly, the data acquisition and the A/D that will contain signal condition and filtering change as the signal pre-treatment, waveform recognition is moved as post processor, therefore can improve the speed of data acquisition greatly, guarantee the integrality of information pickup under the train operation operating mode, and then improve waveform recognition and accuracy of fault diagnosis.
Described circuit-under-test fault data library module, its data structure comprises the field variable: output waveform, fault type and character, localization of fault.In advance according to this circuit characteristic that research and development institution and manufacturer accumulated and malfunction determination parameter, curve and the waveform of tested underground engines pulliung circuit put in order, digitizing and eigenwert extraction, all that deposit tested underground engines pulliung circuit according to above-mentioned data structure are the fault signature parameter.Simultaneously, circuit-under-test fault data library module has the automatic dilatation function of record space, can make in the process of using this software package by the assist record that down increase with substantial circuit-under-test Mishap Database of self-learning function in expert system.
Described record mark buffer memory is the memory buffer of using for the interim put sign of identifying.In general, the fault of underground engines pulliung circuit has diversity and complicacy.The sampling of step-lengths such as use is carried out identification and matching with all records in tested output waveform and the database one by one, will expend a large amount of operation time, this is unpractical, also is inapplicable, therefore need to adopt the mode of variable step to carry out computing, i.e. " thick earlier back is thin ".After carrying out once big step-length coarse sizing, to meet this time screens pairing record and " stamps sign ", being about to these records series number deposits in the record mark buffer memory, so that when turning step-length down next time, record to " stamping sign " further screens, to avoid unnecessary double counting.
Described waveform recognition algorithm software bag module, comprise: Fault Identification module, mark module, remedy module, display module, connection between these modules and signal Processing are closed: the Fault Identification module is specially executed the identification to tested voltage waveform, in case tested voltage waveform is considered to belong to certain record trouble, notification indicia module then, mark module is about to this record and " stamps sign ", be about to this recording mechanism and write the record mark buffer memory, then change next round identification computing over to (promptly, thin choosing is differentiated, fault is accurately judged and the location); Otherwise when fault (in existing database, do not have similar), Fault Identification module output computing transfer instruction is transferred processor active task remedying module, by remedying module unknown signaling characteristic is implemented to judge; Fault Identification module, mark module, remedy module and display module and adopt parallel link, calculating process and result that display module can the real-time follow-up former three, with the result by showing that output protocol exports the demonstration follower to.
The concrete operation process: with tested output voltage waveforms is template, when discerning first, with big step-length sampling all failure loggings in the database is roughly selected fast, with similarity soprano record " stamping sign "; Secondly, the step-length that diminishes writes down the screening of sampling once more to " stamping sign ", again with new similarity soprano's record " stamping sign ", and upgrades in the record mark buffer memory and stores; The rest may be inferred by analogy, until finding unique similarity soprano, therefore confirms the fault type and the character of current circuit-under-test, and position that fault took place and device; If, in existing Mishap Database, do not find any record as yet, then enter function and remedy program; What is called remedies program, promptly, to tested output voltage waveforms self symmetry identification (comprising: the adjacent periods waveform compares and rotates cylindricizing), and then judge whether non-fault or novel fault occurs of tested waveform, adopt the expert system that remedies in the program that original Mishap Database is write down interpolation this novel fault again.
The course of work based on waveform recognition algorithm software bag module further specifies as follows:
(1) is template with tested output voltage waveforms, when discerning first, with big step-length sampling all failure loggings in the database roughly selected fast, similarity soprano record " stamping sign ";
(2) diminish step-length to the screening of sampling once more of " stamping sign " record, similarity soprano that will be new writes down " stamping sign " again, and renewal record mark buffer memory;
(3) the rest may be inferred by analogy, until finding unique similarity soprano, therefore confirms the fault type and the character of current circuit-under-test, and position that fault took place and device.
(4), through with the cocycle result, can confirm the probability of nature of trouble and localization of fault＞more than 98% in case there is fault in circuit-under-test; Have only＜2% probability can't find any record, at this moment, then enter function and remedy program in existing Mishap Database.
(5) remedy program start: tested output voltage waveforms self symmetry is discerned (comprising: the adjacent periods waveform compares and rotates cylindricizing), make the judgement of non-fault or novel fault, in case judge UNKNOWN TYPE (character) fault to occur, be about to novel fault original Mishap Database is write down interpolation.
(6) demonstration of conclusion output.
The remarkable advantage and the beneficial effect of the present invention and background technology comparison are:
(1) output data of circuit-under-test is very simple, only needs to detect its output waveform, need not other additional parameter, realizes the perfect information analysis to output waveform;
(2) counterpart's artificial neural networks scheduling algorithm, the present invention has avoided complicated network structure design and operational method thereof, makes calculating process very simplify, and entire identification process takies CPU time and is short to Millisecond;
(3) fault verification is accurate, localization of fault is accurate;
(4) have self-learning function, can use expert system to replenish and cognitive knowledge storehouses such as the type of improving unknown failure and character.
Description of drawings
Fig. 1 system construction drawing of the present invention
Embodiment
As shown in Figure 1, the present invention includes: tested underground engines pulliung circuit 1, standard termination 2, built-in industrial control machine 3.When utilizing the present invention to carry out the field conduct detection, standard termination 2 is the load of train prototype; When utilizing simulated experiment platform that tested underground engines pulliung circuit 1 is detected, standard termination 2 is the semi-physical object simulating dummy load, the principle of similitude according to machinery inertial and drive of motor characteristic is made, and tested underground engines pulliung circuit 1 has only could its original operating mode of real simulation under the situation that connects upward standard termination 2.The voltage output at standard termination 2 two ends transfers to built-in industrial control machine 3 through signal conductor, for signal Processing and analysis.
Built-in industrial control machine 3 comprises: data acquisition unit 4, A/D converter 5, data buffer 6, central processing unit 7, circuit-under-test fault data library module 8, record mark buffer memory 9, based on waveform recognition algorithm software bag module 10, show follower 11.Output voltage waveforms is at first gathered by data acquisition unit 4, behind A/D converter 5, change data buffer 6 over to, after data acquisition unit 4 collection output waveforms are all over, central processing unit 7 has called based on waveform recognition algorithm software bag module 10, and reads output waveform data focus on from data buffer 6.Based on waveform recognition algorithm software bag module 10 fault waveform in output voltage waveforms and the circuit-under-test fault data library module 8 is mated, in the similarity allowed band of determining, calculate and obtain similarity the maximum, the fault of promptly assert tested underground engines pulliung circuit appearance 1 this moment belongs to shown fault type and the character of this record in the database, and accurately points out the position (comprising device and circuit) of trouble spot.
Based on waveform recognition algorithm software bag module 10 by Fault Identification module, mark module, remedy module, display module is formed the computing kernel, the Fault Identification module is specially executed the identification to tested voltage waveform, in case tested voltage waveform is considered to belong to certain record trouble, notification indicia module then, mark module is about to this recording mechanism and writes the record mark buffer memory, then changes next round identification computing (fault is accurately judged and the location) over to; Otherwise Fault Identification module output computing transfer instruction remedies module with the processor active task transfer, by remedying module unknown signaling characteristic is implemented to judge; Display module real-time follow-up Fault Identification module, mark module, the calculating process that remedies module and result show follower 11 with the result by showing that output protocol exports to.
Embodiment: a line DC-01 of Shanghai Underground direct current motor car owner circuit test
The main template that this main circuit comprises: traction control unit, chopper and trigger pulse circuit thereof.
Implementation condition:
(1) method that adopts semi-true object emulation technology to combine with virtual instrument technique is set up the master control system comprehensive test platform, reaches master control system omnidistance simulation locomotive operating condition under off-line state, and then realizes the full test to the quiet dynamic perfromance of master control system; Set up complete extensive circuit-under-test fault data library module.
(2) unknown performance condition is needed the circuit-under-test access master control system comprehensive test platform of mensuration test.
Detailed process is as follows:
(1) tested underground engines pulliung circuit 1 inserts the test trough of comprehensive test platform, is connected with the input channel of standard termination 2 and built-in industrial control machine 3 automatically;
(2) each several part powers on, and opens computer and enters operation test and fault diagnostic program;
(3), make tested underground engines pulliung circuit 1 work in all possible train operation operating mode according to the full simulated condition of underground engines that comprehensive test platform had;
(4) data acquisition unit 4 inputs to data buffer 6 with the output waveform of tested underground engines pulliung circuit 1 under different train operation operating modes by A/D converter 5 in real time;
(5) gather output waveforms when being all at data acquisition unit 4, central processing unit 7 has called based on waveform recognition algorithm software bag module 10, and reads output waveform data focus on from data buffer 6;
(6) one by one the fault waveform in output voltage waveforms and the circuit-under-test fault data library module 8 is mated based on waveform recognition algorithm software bag module 10, in the similarity allowed band of determining, calculate and obtain similarity the maximum, the fault of promptly assert tested underground engines pulliung circuit appearance 1 this moment belongs to shown fault type and the character of this record in the database, and accurately points out the position (comprising device and circuit) of trouble spot.
Concrete result of implementation:
Data sampling period tau＜1 μ s;
Data pretreatment period T
0＜1ms;
Set output waveform identification and fault diagnosis period T under the operating mode
1＜30ms;
Output waveform identification under five kinds of operating modes (starting, acceleration, idling, braking, emergency brake) is always calculated period T=nT with fault diagnosis
1=5T
1＜150ms is when n=5;
Test result fault diagnosis accuracy rate＞98%.
Claims (4)
1, a kind of underground engines pulliung circuit fault diagnosis system based on waveform recognition, comprise: tested underground engines pulliung circuit, standard termination, it is characterized in that, also comprise built-in industrial control machine, built-in industrial control machine comprises: data acquisition unit, A/D converter, data buffer, central processing unit, circuit-under-test fault data library module, the record mark buffer memory, based on waveform recognition algorithm software bag module, show follower, the output loading and the standard termination of tested underground engines pulliung circuit, built-in industrial control machine is from the two ends pick-up voltage input of standard termination, the terminal voltage of standard termination inputs to the data acquisition unit data-in port of forefront in the built-in industrial control machine, the output terminal of data acquisition unit is connected with the A/D converter input end, the output terminal of A/D converter is connected with the inlet of writing of data buffer, the readout window of data buffer is connected with the mouth that reads in of central processing unit, circuit-under-test fault data library module, the record mark buffer memory, all by the two-way interactive of data bus and central processing unit realization data and instruction, the output of central processing unit is connected with the demonstration follower by VGA based on waveform recognition algorithm software bag module.
2, underground engines pulliung circuit fault diagnosis system based on waveform recognition according to claim 1, it is characterized in that, described standard termination, detection load as tested underground engines pulliung circuit, working environment according to standard powers on to tested underground engines pulliung circuit, built-in industrial control machine detects the output voltage waveforms that obtains tested underground engines pulliung circuit from the two ends of standard termination, output voltage waveforms is at first gathered by data acquisition unit, behind A/D converter, change data buffer over to, after data acquisition unit collection output waveform is all over, central processing unit has called based on waveform recognition algorithm software bag, and reads output waveform data focus on from data buffer.
3, according to claim 1 or 2 described underground engines pulliung circuit fault diagnosis systems based on waveform recognition, it is characterized in that, described data buffer, for being separated with the waveform recognition computing, data acquisition carries out, the data acquisition and the A/D that will contain signal condition and filtering change as the signal pre-treatment, and waveform recognition is moved as post processor.
4, according to claim 1 or 2 described underground engines pulliung circuit fault diagnosis systems based on waveform recognition, it is characterized in that, described waveform recognition algorithm software bag module, comprise: Fault Identification module, mark module, remedy module, display module, the Fault Identification module is to the identification of tested voltage waveform, in case tested voltage waveform is considered to belong to certain record trouble, notification indicia module then, mark module is about to this recording mechanism and writes the record mark buffer memory, then changes next round over to fault is accurately judged and location identification computing; Otherwise Fault Identification module output computing transfer instruction remedies module with the processor active task transfer, by remedying module unknown signaling characteristic is implemented to judge; Display module real-time follow-up Fault Identification module, mark module, the calculating process that remedies module and result export the result to the demonstration follower by the demonstration output protocol.
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| Application Number | Priority Date | Filing Date | Title |
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| CNB2006100303279A CN100524367C (en) | 2006-08-24 | 2006-08-24 | Subsway rail car pulling circuit fault diagnosis system based on wave form identification |
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| CNB2006100303279A CN100524367C (en) | 2006-08-24 | 2006-08-24 | Subsway rail car pulling circuit fault diagnosis system based on wave form identification |
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| CN1912930A true CN1912930A (en) | 2007-02-14 |
| CN100524367C CN100524367C (en) | 2009-08-05 |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102106052A (en) * | 2008-08-29 | 2011-06-22 | Abb研究有限公司 | Method and apparatus for fault identification in a power transmission line |
| CN102226829A (en) * | 2011-03-28 | 2011-10-26 | 西南交通大学 | Fault locating apparatus of non-contact electromagnetic induction of AT power traction system and fault locating method thereof |
| CN105631966A (en) * | 2014-12-01 | 2016-06-01 | 中车大连电力牵引研发中心有限公司 | Rail train convertor equipment data recording device |
| CN106154079A (en) * | 2015-05-13 | 2016-11-23 | 罗伯特·博世有限公司 | For the method monitoring onboard power system |
| CN106597872A (en) * | 2016-12-26 | 2017-04-26 | 中国铁道科学研究院 | Subway traction system net voltage interruption, mutation and fluctuation testing system and method |
| CN109557907A (en) * | 2018-12-20 | 2019-04-02 | 中车大连电力牵引研发中心有限公司 | Failure logging and resolution system for trailer system |
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2006
- 2006-08-24 CN CNB2006100303279A patent/CN100524367C/en not_active Expired - Fee Related
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102106052A (en) * | 2008-08-29 | 2011-06-22 | Abb研究有限公司 | Method and apparatus for fault identification in a power transmission line |
| CN102226829A (en) * | 2011-03-28 | 2011-10-26 | 西南交通大学 | Fault locating apparatus of non-contact electromagnetic induction of AT power traction system and fault locating method thereof |
| CN105631966A (en) * | 2014-12-01 | 2016-06-01 | 中车大连电力牵引研发中心有限公司 | Rail train convertor equipment data recording device |
| CN105631966B (en) * | 2014-12-01 | 2017-11-24 | 中车大连电力牵引研发中心有限公司 | The tape deck of track train convertor equipment data |
| CN106154079A (en) * | 2015-05-13 | 2016-11-23 | 罗伯特·博世有限公司 | For the method monitoring onboard power system |
| CN106597872A (en) * | 2016-12-26 | 2017-04-26 | 中国铁道科学研究院 | Subway traction system net voltage interruption, mutation and fluctuation testing system and method |
| CN109557907A (en) * | 2018-12-20 | 2019-04-02 | 中车大连电力牵引研发中心有限公司 | Failure logging and resolution system for trailer system |
| CN109557907B (en) * | 2018-12-20 | 2023-05-23 | 中车大连电力牵引研发中心有限公司 | Fault recording and resolving system for traction system |
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