• DocumentCode
    2990620
  • Title

    An application of qualitative reasoning to process diagnosis: automatic rule generation by qualitative simulation

  • Author

    Ishida, Y.

  • Author_Institution
    Dept. of Appl. Syst. Sci., Kyoto Univ., Japan
  • fYear
    1988
  • fDate
    14-18 Mar 1988
  • Firstpage
    124
  • Lastpage
    129
  • Abstract
    AQUA, a knowledge acquisition tool for the process diagnosis domain, is presented. AQUA uses a qualitative model in guiding the construction of a diagnostic rule base. Since online real-time diagnosis of the real process plant requires a huge rule base, a systematic way of building the rule base is proposed by a qualitative version of fault simulation on the qualitative model. The qualitative model is modified interactively, using qualitative simulation and qualitative diagnosis. To further enhance the knowledge acquisition process, the knowledge from which the model is constructed is divided into two types: plant-common knowledge and plant-specific knowledge
  • Keywords
    knowledge engineering; process computer control; AQUA; automatic rule generation; diagnostic rule base; fault simulation; knowledge acquisition tool; online real-time diagnosis; plant-common knowledge; plant-specific knowledge; process diagnosis; qualitative reasoning; qualitative simulation; Buildings; Fault diagnosis; Knowledge acquisition; Knowledge based systems; Level control; Libraries; Mathematical model; Parameter estimation; Real time systems; Stability analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence Applications, 1988., Proceedings of the Fourth Conference on
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    0-8186-0837-4
  • Type

    conf

  • DOI
    10.1109/CAIA.1988.196092
  • Filename
    196092