A fuzzy expert system for the integrated fault diagnosis

An integrated fuzzy expert system is presented to diagnose various faults that may occur in a regional transmission network and substations. Fuzzy reasoning method is applied, and it is discussed in detail. Discrimination of false operations or nonoperations of protective devices as well as the faul...

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Bibliographic Details
Published inIEEE transactions on power delivery Vol. 15; no. 2; pp. 833 - 838
Main Authors Heung-Jae Lee, Deung-Yong Park, Bok-Shin Ahn, Young-Moon Park, Jong-Keun Park, Venkata, S.S.
Format Journal Article
LanguageEnglish
Published New York IEEE 01.04.2000
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Artificial intelligence
Control systems
Diagnostic expert systems
Expert systems
Fault diagnosis
Faults
Fuzzy
Fuzzy logic
Fuzzy reasoning
Fuzzy set theory
Hybrid intelligent systems
Intelligent systems
Power system faults
Substation protection
Substations
Support systems
System testing
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Summary:An integrated fuzzy expert system is presented to diagnose various faults that may occur in a regional transmission network and substations. Fuzzy reasoning method is applied, and it is discussed in detail. Discrimination of false operations or nonoperations of protective devices as well as the fault identification scheme are also analyzed, together with the fuzzy inference process. The proposed system is designed to improve efficiency, generality, and reliability of the solution. The system will replace a fault diagnosis system that had been tested as a part of an intelligent support system on a local control center in Korea.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
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ISSN:0885-8977
1937-4208
DOI:10.1109/61.853027