DocumentCode :
1482655
Title :
The manipulation of time-varying dynamic variables using the rule modification method and performance-index in NPP accident diagnostic expert systems
Author :
Choi, Kie-Yong ; Yang, Joon-On ; Chang, Soon-Heung
Author_Institution :
Dept. of Nuclear Eng., Korea Adv. Inst. of Sci. & Technol., Seoul, South Korea
Volume :
35
Issue :
5
fYear :
1988
fDate :
10/1/1988 12:00:00 AM
Firstpage :
1121
Lastpage :
1125
Abstract :
When an expert system is being developed for nuclear power plant (NPP) accident diagnosis, the most difficult problem is the manipulation of the time-varying dynamic variables. To meet this need, the authors propose modification of the rules for accident diagnosis when plant parameters and conditions are varying. In addition to the rule-modification method, a pattern-matching method using the performance index is suggested. This system also uses the results of transient analysis and accident analysis codes as a database. To simulate this expert system, PROLOG was used to construct the knowledge base. The inherent backtracking inference strategy was used for the inference engine. Feedwater line piping failure was selected for system verification
Keywords :
PROLOG listings; accidents; expert systems; fission reactor core control and monitoring; fission reactor safety; nuclear engineering computing; nuclear power stations; PROLOG; accident analysis; accident diagnosis; database; expert system; feedwater line piping failure; inference engine; inherent backtracking inference strategy; knowledge base; nuclear power plant; pattern-matching method; performance index; plant parameters; rule-modification method; time-varying dynamic variables; transient analysis; Accidents; Diagnostic expert systems; Engines; Expert systems; Humans; Manipulator dynamics; Pattern matching; Power generation; Power system reliability; Transient analysis;
fLanguage :
English
Journal_Title :
Nuclear Science, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9499
Type :
jour
DOI :
10.1109/23.7508
Filename :
7508
Link To Document :
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