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

fYear

1992

fDate

10-13 Nov 1992

Firstpage

471

Lastpage

472

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Tools with Artificial Intelligence, 1992. TAI '92, Proceedings., Fourth International Conference on

Conference_Location

Arlington, VA

Print_ISBN

0-8186-2905-3

Type

conf

DOI

10.1109/TAI.1992.246457

Filename

246457