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

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 appli...

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Bibliographic Details
Main Authors: Tang, S.K., Dillon, T.S., Khosla, R.
Format: Conference Proceeding
Language:English
Subjects:
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
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Summary: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.
DOI:10.1109/ISAP.1996.501066