• DocumentCode
    2991249
  • Title

    Fuzzy fault tree analysis of power project safety risk for the smart construction

  • Author

    Yang Tai-hua ; Zheng Qing-hua ; Wang Yang ; Wang Su-fang

  • Author_Institution
    Sch. of Econ. & Manage., Shanghai Univ. of Electr. Power, Shanghai, China
  • fYear
    2012
  • fDate
    20-22 Sept. 2012
  • Firstpage
    372
  • Lastpage
    376
  • Abstract
    All risk events of power grid usually show the complex logic relation of the factors caused by the disaster. This paper analyzed the fault reasons based on the systematology, and proposed the fuzzy fault tree model of power project in the smart construction, and distinguished the safety risk of the transmission tower collapses. It realized that the fault probability caused by the strong storm is undefined, and this paper regards the probability of the basic event as fuzzy datum, and calculated the occurrence probability of transmission tower collapses based on the fault tree logic structure analysis of intermediate and top events. The applied example shows that it is possible applicable to using the fuzzy fault tree method to analyze the safety risk of the tower collapse accidents of power project.
  • Keywords
    accident prevention; disasters; fault trees; fuzzy set theory; power transmission faults; power transmission protection; probability; project management; risk analysis; smart power grids; storms; fault event probability; fault reason analysis; fault tree logic structure analysis; fuzzy datum; fuzzy fault tree analysis; intermediate events; power grid risk events; power project safety risk; smart construction; storm disaster; top events; tower collapse accidents; transmission tower collapse occurrence probability; Fault trees; Poles and towers; Power transmission lines; Probability; Safety; Security; fuzzy fault tree model of power project; safety risk analysis; smart construction; strong storm disaster; transmission tower collapse;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management Science and Engineering (ICMSE), 2012 International Conference on
  • Conference_Location
    Dallas, TX
  • ISSN
    2155-1847
  • Print_ISBN
    978-1-4673-3015-2
  • Type

    conf

  • DOI
    10.1109/ICMSE.2012.6414208
  • Filename
    6414208