• DocumentCode
    420824
  • Title

    Intelligent fault diagnosis technique based on causality diagram

  • Author

    Qingxi, Shi ; Hongchun, Wang ; Qin, Zhang

  • Author_Institution
    Dept. of Autom., Chongqing Univ., China
  • Volume
    2
  • fYear
    2004
  • fDate
    15-19 June 2004
  • Firstpage
    1751
  • Abstract
    We discuss the knowledge expression, reasoning and probability computing in causality diagram, which is developed from the belief network and overcomes some shortages. The model of causality diagram used for system fault diagnosis is brought forward, and the model constructing method and reasoning algorithm are also presented. At last, an application example in the fault diagnosis of the nuclear power plant is given which shows that the method is effect.
  • Keywords
    belief networks; cause-effect analysis; fault diagnosis; nuclear power stations; probability; belief network; causality diagram; intelligent fault diagnosis technique; knowledge expression; nuclear power plant; probability computing; reasoning computing; Application software; Artificial intelligence; Automation; Computer industry; Computer networks; Fault diagnosis; Power generation; Power system modeling; Probability; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
  • Print_ISBN
    0-7803-8273-0
  • Type

    conf

  • DOI
    10.1109/WCICA.2004.1340973
  • Filename
    1340973