Title :
A neuro-expert system architecture with application to alarm processing in a power system control centre
Author :
Khosla, R. ; Dillon, T.
Author_Institution :
Dept. of Comput. Sci. & Comput. Eng., La Trobe Univ., Bundoora, Vic., Australia
Abstract :
A generic neuro-expert system architecture which can overcome difficulties faced by stand-alone expert systems and artificial neural networks is proposed. It can be applied in various problem domains, such as engineering and fault diagnosis, which require problem decomposition. It is recommended for use in real-time systems. The neuro-expert system architecture can be used at different levels of a power system hierarchy for alarm interpretation and fault diagnosis
Keywords :
alarm systems; computerised monitoring; expert systems; intelligent control; neural nets; power system computer control; alarm processing; artificial neural networks; fault diagnosis; neuro-expert system architecture; power system control centre; power system hierarchy; problem decomposition; real-time systems; Application software; Artificial neural networks; Computer architecture; Computer science; Databases; Electronic switching systems; Expert systems; Neural networks; Power system control; Training data;
Conference_Titel :
Tools with Artificial Intelligence, 1992. TAI '92, Proceedings., Fourth International Conference on
Conference_Location :
Arlington, VA
Print_ISBN :
0-8186-2905-3
DOI :
10.1109/TAI.1992.246457
