Intelligent evaluation of fault status in power transformer based on fuzzy fault Petri net

In order to study the fault propagation characteristics of power transformer-one of the most important devices in the power system-more effectively, according to the logic relation of system faults and the modeling method of Petri net, the fuzzy fault Petri net model of the transformer is establishe...

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Bibliographic Details
Published in2017 IEEE Electrical Insulation Conference (EIC) pp. 104 - 107
Main Authors Feifei Sun, Yangchun Cheng, Chunhe Cheng, Xingming Bian
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2017
Subjects
Circuit faults
Cognition
confidence degree
D-S evidence theory
fault diagnosis
fuzzy fault Petri net
Ignition
Petri nets
Power transformers
Windings
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Summary:In order to study the fault propagation characteristics of power transformer-one of the most important devices in the power system-more effectively, according to the logic relation of system faults and the modeling method of Petri net, the fuzzy fault Petri net model of the transformer is established. Taking the case of the deductive reasoning of winding fault model, after determining the initial network parameters of the model, D-S evidence theory is introduced to implement confidence reasoning, which offers a reliable basis for condition-based maintenance, and provides necessary conditions for fault reasoning. The forward deduction algorithm based on the intelligent ignition judgment matrix is used to describe the occurrence of fault phenomena and propagation of the transition, which realize the intelligent and quick evaluation of the fault state.
ISBN:1509039651
9781509039654
DOI:10.1109/EIC.2017.8004625