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Fuzzy Petri net transformer station fault diagnosis method based on time membership analysis

A technology of time membership and fault diagnosis, applied in the direction of reasoning methods, etc., can solve problems such as the influence of fault signal time uncertainty on diagnosis results

Inactive Publication Date: 2012-09-12
XJ ELECTRIC +2
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Problems solved by technology

[0005] The purpose of the present invention is to provide a fuzzy Petri net substation fault diagnosis method based on time membership analysis, to solve the problem that the time uncertainty presented between the fault signals containing logical relations affects the diagnosis results

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  • Fuzzy Petri net transformer station fault diagnosis method based on time membership analysis
  • Fuzzy Petri net transformer station fault diagnosis method based on time membership analysis
  • Fuzzy Petri net transformer station fault diagnosis method based on time membership analysis

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Embodiment Construction

[0037] The steps of fuzzy Petri net substation fault diagnosis method based on time membership analysis are as follows:

[0038] (1) Using the fuzzy Petri net with time membership function to construct the substation fault diagnosis model;

[0039] (2) Group a group of time-series signals collected according to fault diagnosis rules, calculate the weighted expectation and weighted variance of each time-series signal group, and select the signal group with the smallest degree of dispersion according to the minimum weighted variance for fuzzy reasoning;

[0040] (3) Utilize the fuzzy time slice function to calculate the time membership degree corresponding to each time series signal of the group with the smallest weighted variance;

[0041] (4) Use fuzzy Petri net model to reason and analyze substation fault diagnosis to determine the possibility of fault occurrence.

[0042] Fuzzy Petri Net (TM-FPN) with time membership function in step (1)∑ TM-FPN = {P, T, F, I, TM, FT, W, C...

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Abstract

The invention relates to a fuzzy Petri net transformer station fault diagnosis method based on a time membership analysis. The method is characterized by: using a fuzzy Petri net with a time membership function to construct a transformer station fault diagnosis model; grouping a set of collected sequence signals according to a fault diagnosis rule, calculating weighted expectation and weighted variance of the each sequence signal set and selecting the signal set with a minimum dispersion degree according to weighted variance minimum correspondingly to carry out fuzzy inference; using a fuzzy time slice function to calculate a time membership degree corresponding to the each sequence signal of the set with the minimum weighted variance; using a fuzzy Petri net model to carry out the inference analysis on the transformer station fault diagnosis and determine a possibility of fault generation. By using the method of the invention, a problem of a time uncertainty in the transformer station fault diagnosis can be effectively solved, and a signal time distribution dispersion degree, a time difference function and influence of the repeated signal on a diagnosis result can be quantitatively analyzed.

Description

technical field [0001] The invention belongs to the technical field of automatic control systems, and relates to a substation fault diagnosis method. Background technique [0002] The purpose of power system fault diagnosis is to quickly identify the fault source that causes equipment failure. When a certain equipment in the power system fails, the related protection devices at all levels will take action and send out a large number of alarm signals. Especially when these alarm signals are mixed with uncertain factors such as protection device misoperation, refusal to operate, time deviation and channel transmission error, the difficulty of fault diagnosis will be greatly increased. These uncertain factors make it very difficult to correctly identify the source of the fault and choose a reasonable way to eliminate the fault. [0003] There are many uncertain factors in the current power system fault diagnosis, but the problem of time uncertainty is rarely mentioned. Relat...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N5/04
Inventor 张新昌李江林杨恢宏李贞赵成功邱俊宏慕宗君王广民
Owner XJ ELECTRIC
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