• DocumentCode
    511132
  • Title

    Application of Fault Tree Knowledge in Reasoning of Safety Risk Assessment Expert System in Petrochemical Industry

  • Author

    Song, Wenhua ; Shi, Huifang ; Li, Qinggong

  • Author_Institution
    Firefighting & Safety Eng. Inst., Tianjin Polytech. Univ., Tianjin, China
  • fYear
    2009
  • fDate
    19-20 Dec. 2009
  • Firstpage
    167
  • Lastpage
    170
  • Abstract
    In studying the safety risk assessment expert system in petrochemical industry, the conception of fault tree based on binary decision diagrams (BDD) is proposed for fault tree analysis. Taking the boiler fouling explosion for example, the fault tree model and BDD model are built. On the basis of the fault tree model and BDD model, the stress is put on the knowledge representation (KR) of BDD based fault tree in the safety risk assessment expert system and the fault tree knowledge based mechanism of reasoning in this paper.
  • Keywords
    binary decision diagrams; boilers; expert systems; fault trees; inference mechanisms; knowledge representation; maintenance engineering; petrochemicals; production engineering computing; risk management; safety systems; BDD model; binary decision diagram; boiler fouling explosion; fault tree analysis; fault tree knowledge; knowledge representation; petrochemical industry; reasoning; safety risk assessment expert system; Binary decision diagrams; Boolean functions; Chemical industry; Data structures; Expert systems; Fault trees; Petrochemicals; Risk analysis; Risk management; Safety; binary decision diagrams; expert system; fault tree knowledge; knowledge representation; reasoning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge Engineering and Software Engineering, 2009. KESE '09. Pacific-Asia Conference on
  • Conference_Location
    Shenzhen
  • Print_ISBN
    978-0-7695-3916-4
  • Type

    conf

  • DOI
    10.1109/KESE.2009.51
  • Filename
    5383592