DocumentCode :
3247939
Title :
Transformer Insulation Fault Diagnosis Method Based on Fuzzy Expert Systems
Author :
Su, H.S. ; Li, Q.Z.
Author_Institution :
Dept. of Inf. & Electr. Eng., Lanzhou Jiaotong Univ.
fYear :
2006
fDate :
38869
Firstpage :
343
Lastpage :
346
Abstract :
In order to deal with the incomplete and indeterminate as well as fuzzy fault symptom information in process of transformer insulation fault diagnosis, fuzzy subjection functions for various fault symptoms are designed in the paper. Then, a novel transformer insulation fault diagnosis method called fuzzy expert system is proposed. The method firstly establishes fuzzy faults diagnosis matrix based to field experts knowledge, meanwhile, prior probability of each fault occurrence is also fully considered, a fuzzy inference expert system for that is formed. By the use of it in the triple-ratio coded transformer insulation fault diagnosis, the application results indicate that the method is a very effective
Keywords :
expert systems; fault diagnosis; fuzzy reasoning; insulation testing; matrix algebra; power engineering computing; power transformer insulation; power transformer testing; probability; fuzzy faults diagnosis matrix; fuzzy inference expert systems; probability; transformer insulation; triple-ratio coded transformer; Diagnostic expert systems; Dielectrics and electrical insulation; Fault diagnosis; Fuzzy reasoning; Fuzzy sets; Fuzzy systems; Humans; Hybrid intelligent systems; Power system reliability; Power transformer insulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Properties and applications of Dielectric Materials, 2006. 8th International Conference on
Conference_Location :
Bali
Print_ISBN :
1-4244-0189-5
Electronic_ISBN :
1-4244-0190-9
Type :
conf
DOI :
10.1109/ICPADM.2006.284186
Filename :
4062675
Link To Document :
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