Development of an expert system for analyzing faults in power system using artificial neural network based waveform recognition

Author

Fukuyama, Yoshikazu ; Ueki, Yoshiteru

Author_Institution

Fuji Electr. Corp. Res. & Dev. Ltd., Tokyo, Japan

fYear

1991

fDate

11-14 Jun 1991

Firstpage

1137

Abstract

The authors describe a hybrid fault analysis expert system using faulted section judgment and waveform recognition. Faulted section judgment is executed by an expert system (ES) using information about the operated relays and circuit breakers (CBs). Waveform recognition is performed by an artificial neural network (ANN) using the fault voltage/current waveform. The result of waveform recognition is verified by using qualitative knowledge. With ES and ANN used together, the system can obtain the convenient features of both methods

Keywords

circuit breakers; expert systems; neural nets; power system analysis computing; relays; artificial neural network; circuit breakers; expert system; fault analysis; fault voltage/current waveform; faulted section judgment; power system; qualitative knowledge; relays; waveform recognition; Artificial neural networks; Circuit breakers; Circuit faults; Expert systems; Intelligent networks; Pattern recognition; Power system analysis computing; Power system faults; Power system restoration; Voltage;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1991., IEEE International Sympoisum on

Print_ISBN

0-7803-0050-5

Type

conf

DOI

10.1109/ISCAS.1991.176567

Filename

176567