• DocumentCode
    496275
  • Title

    Dynamic Causality Diagram in Fault Diagnosis

  • Author

    Shi, Qingxi ; Liang, Xinyuan

  • Author_Institution
    Dept. of Comput., Chongqing Technol. & Bus. Univ., Chongqing, China
  • Volume
    1
  • fYear
    2009
  • fDate
    24-26 April 2009
  • Firstpage
    225
  • Lastpage
    227
  • Abstract
    In order to overcomes some shortages of Belief Network dynamic causality diagram is put forward. Its knowledge expression, reasoning, probability computing and also the model of causality diagram used for system fault diagnosis, the model constructing method and reasoning algorithm are proposed. At last, an application example in the fault diagnosis of the nuclear power plant is given which shows that the method is effective.
  • Keywords
    belief networks; causality; fault diagnosis; nuclear power stations; belief network; dynamic causality diagram; knowledge expression; nuclear power plant; probability computing; reasoning algorithm; system fault diagnosis; Application software; Artificial intelligence; Computer industry; Computer networks; Couplings; Fault diagnosis; Power generation; Power system modeling; Probability; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
  • Conference_Location
    Sanya, Hainan
  • Print_ISBN
    978-0-7695-3605-7
  • Type

    conf

  • DOI
    10.1109/CSO.2009.325
  • Filename
    5193681