Development of an AI supporting system for knowledge acquisition and refinement (nuclear power plant applications)

Author

Asai, N. ; Onishi, K. ; Mori, S. ; Otsuka, Y. ; Makino, S.

Author_Institution

Kansai Electr. Power Co. Inc., Osaka, Japan

fYear

1988

fDate

25-27 May 1988

Firstpage

47

Lastpage

51

Abstract

Knowledge acquisition and refinement are becoming a bottleneck in developing expert systems. To solve this kind of problem, the authors have developed a supporting system for knowledge acquisition and refinement called the Knowledge Catcher. The system is designed to make knowledge acquisition and refinement effective in building a knowledge base applicable to the diagnosis for nuclear power plants. An overview of the Knowledge Catcher is presented, with attention given to knowledge structure, system function, the approach to knowledge acquisition, and verification.<>

Keywords

expert systems; knowledge acquisition; nuclear engineering computing; nuclear power stations; AI supporting system; Knowledge Catcher; diagnosis; expert systems; knowledge acquisition; knowledge base; knowledge refinement; knowledge structure; nuclear power plants; system function; verification; Artificial intelligence; Coolants; Diagnostic expert systems; Electronic switching systems; Inductors; Knowledge acquisition; Knowledge representation; Power generation; Problem-solving; Refining;

fLanguage

English

Publisher

ieee

Conference_Titel

Artificial Intelligence for Industrial Applications, 1988. IEEE AI '88., Proceedings of the International Workshop on

Conference_Location

Hitachi City, Japan

Type

conf

DOI

10.1109/AIIA.1988.13268

Filename

13268