CN102968113A - Failure analysis and exhibition method of power generator excitation system - Google Patents
Failure analysis and exhibition method of power generator excitation system Download PDFInfo
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- CN102968113A CN102968113A CN201210460309XA CN201210460309A CN102968113A CN 102968113 A CN102968113 A CN 102968113A CN 201210460309X A CN201210460309X A CN 201210460309XA CN 201210460309 A CN201210460309 A CN 201210460309A CN 102968113 A CN102968113 A CN 102968113A
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Abstract
The invention discloses a failure analysis and exhibition method of a power generator excitation system. The failure analysis and exhibition method comprises the following steps of: 1, on the basis of failure analysis and induction, establishing a power generator excitation system failure tree; 2, classifying failure signals of the failure tree obtained in the step 1 according to the severity orders of the failures; 3, determining the priority of signal processing according to the severity orders of the failures in accordance with the failure signal classifying in the step 2, and locating a failure source; 4, exhibiting a diagnosis result in the step 3 on the failure tree by using different modes according to different types of the failures in accordance with the correspondence of the diagnosis result in the step 3 to the failure tree of the power generation excitation system, wherein the failure tree is established in the step 1; and 5, establishing an expert knowledge base. According to the invention, the timeliness of the failure diagnosis of the power generation excitation system can be increased, abnormal information is subjected to high-level analysis, the failure source is finally located, a simple and visual failure display interface is provided for a worker, and the maintenance time can be greatly reduced.
Description
Technical field
The present invention relates to a kind of Fault Analysis on Generator Excitation System and methods of exhibiting, belong to the industrial control technology field.
Background technology
Excitation system is the important component part of generator, and generator excited system generally is comprised of field regulator, three major parts of rectification unit and demagnetization unit, and field regulator is controlled the output of rectification unit according to input signal and given regulated value; Rectification unit provides specified exciting current to generator amature; The demagnetization unit is after generator breaks down, and can cut off rapidly excitation system, and the magnetic field energy that will be stored in the generator amature consumes in magnetism elimination circuit fast.The quality of each cell operation of excitation system directly has influence on the reliability and stability of generator operation, so most important to the monitoring of each cell operation state.And present stage is less to the monitor message of excitation system duty, and fault is showed not directly perceived, after breaking down in addition, system does not launch profound analysis, therefore also there is certain defective aspect excitation system safety, reliable, the steady operation, intelligently theoretically also launching comprehensively to use in excitation system.If major accident appears in excitation system, and monitoring is not taked relevant measure with protection, may cause device damage, even system's tripping operation.If generator excited system does not launch omnibearing monitoring to oneself state, in case the barrier tripping operation will make manufacturing enterprise suffer huge economic loss and energy dissipation for some reason.
For the defective of Fault Analysis on Generator Excitation System and the existence of displaying aspect, for avoiding the further expansion of fault, the conduct monitoring at all levels that improves the generator excited system duty is most important.The fault and the failure cause that occur by concluding each unit of generator excited system, the fault tree of formation motor excitation system.The data message of monitoring analysis generator excited system duty, duty to each unit is monitored, after diagnosis is out of order, dynamically be presented at diagnostic result on the fault tree, utilize the means location source of trouble of robotization, make things convenient for the staff in time to fix a breakdown, by setting up relevant expert knowledge library, improve the intelligent level of system in addition.
Summary of the invention
For solving the problems of the technologies described above, the invention provides a kind of Fault Analysis on Generator Excitation System and methods of exhibiting, the method may further comprise the steps:
1) the operating state data information of generator excited system is analyzed, concluded various unusual or reasons that fault occurs, set up thus the generator excited system fault tree;
2) fault tree that step 1) is obtained is divided into abnormal signal according to the order of severity of fault: generic failure, catastrophic failure and accident;
3) according to step 2) the signal classification, determine the priority that signal is processed with the order of severity of fault: accident, catastrophic failure, generic failure, use the BP neural network to realize the generator excited system condition diagnosing, the location source of trouble;
4) mode on fault tree the Dynamic Display corresponding, that the step 3) diagnostic result is different according to the dissimilar uses of fault with the generator excited system fault tree of step 1) foundation according to the result of step 3) diagnosis;
5) set up expert knowledge library, mainly comprise the source of trouble, failure cause and fault handling mode, after fault occurs, by the inquiry expert knowledge library, obtain relevant failure cause and treatment measures, in time information is represented to the staff.
Aforesaid Fault Analysis on Generator Excitation System and methods of exhibiting, in described step 1), whole generator excited system is divided into 3 sub-systems: regulator subsystem, commutator system, demagnetization subsystem, take generator excited system unusually as top event, 3 sub-systems are intermediate event unusually, and unusual former because intermediate event or bottom event are set up the generator excited system fault tree to cause.
Aforesaid Fault Analysis on Generator Excitation System and methods of exhibiting, in described step 2) in, according to the unusual order of severity of generator excited system, fault is classified: generic failure, catastrophic failure and accident, the priority of three kinds of fault handlings is different with the mode of displaying, to make things convenient for the processing of emergency management.
Aforesaid Fault Analysis on Generator Excitation System and methods of exhibiting, in described step 3), for the priority of fault, the fault that priority is high preferentially utilizes the BP network to analyze, and whether tracing trouble occurs.
Aforesaid Fault Analysis on Generator Excitation System and methods of exhibiting, in described step 4), the fault tree of step 1 and the fault diagnosis result of step 3 are formed corresponding relation, dynamically show fault diagnosis result on the fault tree, and the mode that the fault of different brackets shows is different, at last in interface prompting fault handling measure.
Aforesaid Fault Analysis on Generator Excitation System and methods of exhibiting, in described step 5), expert knowledge library is set up in some fault-signals of generator excited system, failure cause, failure mode, fault handling measure etc., by the search expert knowledge base, inquiry causes reason and the treatment measures of fault, that a situation arises is lower in some new faults, upgrades expert knowledge library.
Fault Analysis on Generator Excitation System of the present invention and methods of exhibiting, carry out identification, analysis and intelligent decision by parameter information and phenomenon to the generator excited system duty, and with diagnostic result by generator excited system fault tree Dynamic Display, for the operator in time grasps the generator excited system duty and fault handling extends efficient help.
Description of drawings
Fig. 1 is Fault Analysis on Generator Excitation System of the present invention and display systems block diagram;
Fig. 2 is rectification cupboard fault tree of the present invention;
Fig. 3 is the sub-fault tree exploded view of rectifier cabinet blower fan of the present invention blowing-out;
Fig. 4 is the soon sub-fault tree exploded view of fusing of rectifier cabinet of the present invention;
Fig. 5 is rectifier cabinet blower fan of the present invention blowing-out and the sub-fault tree exploded view of fast molten fusing.
Embodiment
The present invention is described in further detail below in conjunction with accompanying drawing.
As seen from Figure 1, Fault Analysis on Generator Excitation System and methods of exhibiting mainly are divided into 3 steps: data pre-service, fault diagnosis and fault are showed.Gather the generator excited system duty by supervisory system, data comprise digital signal and simulating signal, then data are carried out pre-service, analyze the significance level of each signal, important signal priority is processed, use the BP neural network to realize the generator excited system fault diagnosis data message, the location source of trouble, and failure message inputed to expert knowledge library, after if diagnosis is out of order and locate the source of trouble, on fault tree, dynamically show fault-signal and the source of trouble, and by the reason of expertise library searching fault generation and the measure of processing, this information is shown at the interface this also will provide for follow-up fault handling necessary help.
Generator excited system rectification cupboard fault tree from Fig. 2 can be found out, the book fault tree take rectifier cabinet unusually as top event, take fuse blows, the outlet wind-warm syndrome is high expands gradually fault tree as intermediate event,, No. 1 fan trouble unusual take fuse fault, rectifier cabinet overcurrent, temperature sensor fault, No. 1 fan power, No. 1 blower fan sky open that fault, No. 2 fan powers are unusual, No. 2 fan troubles, No. 2 blower fan skies are opened fault as the bottom event of fault tree, set up generator excited system rectifier cabinet fault tree.
Fig. 3 is that rectifier cabinet blower fan blowing-out fault uses the present invention's diagnosis and sub-fault tree to show the result.After monitoring out rectifier cabinet blower fan blowing-out signal, owing to after the blower fan blowing-out, cause exporting the air temperature height, use the BP network to realize the location of fault, by monitoring the voltage signal of 2 blower fans, it is unusual unusual with No. 2 fan powers to be diagnosed as No. 1 fan power, lights relevant fault-signal point.In this figure, the order of severity according to fault, be trouble-signal with blower fan blowing-out, outlet wind-warm syndrome high-class, No. 1 blower fan blowing-out, No. 2 blower fan blowing-outs, No. 1 fan power is unusual, No. 1 fan trouble, No. 1 blower fan sky open that fault, No. 2 fan powers are unusual, to open fault be the generic failure signal for No. 2 fan troubles, No. 2 blower fan skies.After unusual generation, at first process trouble-signal, to the trouble-signal priority processing, the location source of trouble.Top event shows with the highest fault type, thus the grade that indication fault occurs.
Fig. 4 is that rectifier cabinet fuse blows fault uses the present invention's diagnosis and sub-fault tree to show the result.Be catastrophic failure with the fuse blows failure modes, by gathering commutation system rectification output current, use the BP neural network to diagnose, diagnostic result is the rectifier cabinet overcurrent, and relevant signaling point is lit.Top event is showed with the catastrophic failure state.
Fig. 5 is that the blowing-out of rectifier cabinet blower fan and fuse blows fault use the present invention to diagnose simultaneously and sub-fault tree is showed the result.Blower fan blowing-out, outlet wind-warm syndrome high score are trouble-signal, the fuse blows fault is divided into the catastrophic failure signal, and No. 1 blower fan blowing-out, No. 2 blower fan blowing-outs, No. 1 fan power be unusual, No. 1 fan trouble, No. 1 blower fan sky are opened fault, No. 2 fan powers are unusual, to open fault be the generic failure signal for No. 2 fan troubles, No. 2 blower fan skies.Use the result of BP network fault diagnosis and location dynamically to be presented on the fault tree, because 2 faults are when occuring simultaneously, the highest level of fault is trouble-signal, so the fault tree top event shows with the trouble-signal state.
Claims (6)
1. a Fault Analysis on Generator Excitation System and methods of exhibiting is characterized in that: said method comprising the steps of:
(a) work state information of generator excited system is analyzed, concluded various unusual or reasons that fault occurs, set up thus the generator excited system fault tree;
(b) according to the order of severity of fault, the abnormal signal of the fault tree that step (a) is obtained is divided into: generic failure, catastrophic failure and accident;
(c) according to the signal classification of step (b), determine the priority that signal is processed with the order of severity of fault: accident, catastrophic failure, generic failure, use the BP neural network to realize the generator excited system condition diagnosing, the location source of trouble;
(d) fault diagnosis result with step (c) is corresponding with the generator excited system fault tree of step (a) foundation, and step (c) diagnostic result is showed fault tree according to the different mode of the dissimilar uses of fault;
(e) set up expert knowledge library, mainly comprise the source of trouble, failure cause and fault handling mode, after fault occurs, by the inquiry expert knowledge library, obtain relevant failure cause and treatment measures, in time information is represented to the staff.
2. Fault Analysis on Generator Excitation System according to claim 1 and methods of exhibiting, it is characterized in that: in described step (a), whole generator excited system is divided into 3 sub-systems: regulator system, commutation system, de-excitation system, take generator excited system unusually as top event, 3 sub-systems are intermediate event unusually, and unusual former because intermediate event or low event are set up the generator excited system fault tree to cause.
3. Fault Analysis on Generator Excitation System according to claim 1 and methods of exhibiting, it is characterized in that: in described step (b), according to the unusual order of severity of generator excited system, fault is classified: generic failure, catastrophic failure and accident, the priority of three kinds of fault handlings is different with the mode of displaying, to make things convenient for the processing of emergency management.
4. Fault Analysis on Generator Excitation System according to claim 1 and methods of exhibiting, it is characterized in that: in described step (c), for the priority of fault, the fault that priority is high utilizes first the BP network to analyze, and whether tracing trouble occurs.
5. Fault Analysis on Generator Excitation System according to claim 1 and methods of exhibiting, it is characterized in that: in described step (d), the fault tree of step (a) and the fault diagnosis result of step (c) are formed corresponding relation, and on fault tree, dynamically show fault diagnosis result, and the mode that the fault of different brackets shows is different, at last in interface prompting fault handling measure.
6. Fault Analysis on Generator Excitation System according to claim 1 and methods of exhibiting, it is characterized in that: in described step (e), expert knowledge library is set up in fault-signal, failure cause, failure mode, the fault handling measure of generator excited system, by the search expert knowledge base, inquiry causes reason and the treatment measures of fault, when a situation arises, upgrade expert knowledge library in new fault.
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| CN103544389A (en) * | 2013-10-18 | 2014-01-29 | 丽水学院 | Fault tree and fuzzy neural network based automobile crane fault diagnosis method |
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| CN104267346A (en) * | 2014-09-10 | 2015-01-07 | 国电南瑞科技股份有限公司 | Remote fault diagnosis method of generator excitation system |
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| CN104730458A (en) * | 2015-04-01 | 2015-06-24 | 贵州电力试验研究院 | Method for monitoring state of generator excitation system |
| CN104950866A (en) * | 2014-03-25 | 2015-09-30 | 株式会社日立高新技术 | Failure cause classification apparatus |
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| CN110346722A (en) * | 2019-07-04 | 2019-10-18 | 国电南瑞科技股份有限公司 | A kind of generator excited system on-line monitoring trouble-shooter |
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Application publication date: 20130313 |