• 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