Application of an integrated fuzzy, knowledge-based, connectionistic architecture for fault diagnosis in power systems

Author

Tang, S.K. ; Dillon, Tharam S. ; Khosla, Rajiv

Author_Institution

Expert & Intelligent Syst. Lab., La Trobe Univ., Bundoora, Vic., Australia

fYear

1996

Firstpage

188

Lastpage

193

Abstract

In this paper, we show the relevance of fuzzy systems in an integrated symbolic-subsymbolic architecture, GENUES (generic neuro-expert system), for information processing. Fuzzy logic is used for modelling knowledge in different phases of the GENUES architecture. As an illustration we show the application of fuzzy logic in the decision phase and post-processing phase of GENUES for power system fault diagnosis

Keywords

diagnostic expert systems; electrical faults; fault diagnosis; fuzzy systems; neural nets; power system analysis computing; symbol manipulation; GENUES; connectionistic architecture; decision phase; fault diagnosis; generic neuro-expert system; information processing; integrated fuzzy architecture; knowledge modelling; knowledge-based architecture; post-processing phase; power systems; symbolic-subsymbolic architecture; Artificial neural networks; Fault diagnosis; Fuzzy logic; Fuzzy systems; Intelligent systems; Knowledge based systems; Power engineering computing; Power system faults; Power system modeling; Problem-solving;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems Applications to Power Systems, 1996. Proceedings, ISAP '96., International Conference on

Conference_Location

Orlando, FL

Print_ISBN

0-7803-3115-X

Type

conf

DOI

10.1109/ISAP.1996.501066

Filename

501066