Title :
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
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;
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
DOI :
10.1109/ISAP.1996.501066
