• DocumentCode
    2228357
  • Title

    Improvement of Fault Tree Analysis in Formal Safety Assessment Using Binary Decision Diagram

  • Author

    Cai, Yao ; Liu, Zhengjiang ; Wu, Zhaolin

  • Author_Institution
    Navig. Coll., Dalian Maritime Univ., Dalian, China
  • fYear
    2009
  • fDate
    26-28 Dec. 2009
  • Firstpage
    4330
  • Lastpage
    4333
  • Abstract
    International Maritime Organization (IMO) implements the principles of risk management through a systematic process called Formal Safety Assessment (FSA). FSA is a structured and systematic methodology, aimed at enhancing maritime safety, including protection of life, health, the marine environment and property, by using risk analysis and cost benefit assessment. One of the most widely used hazard identification and risk analysis techniques in FSA is Fault Tree Analysis (FTA) method. However, only basic conventional methodology of the FTA technique is used in FSA. When dealing with large fault trees, the limitations of FTA in terms of accuracy and the efficiency become apparent. It is necessary for IMO to improve FTA method in FSA. In recent years, the Binary Decision Diagram (BDD) method has been developed that solves fault trees and overcomes the disadvantages of the conventional FTA approach. In this paper, the BDD method is introduced for the application in FSA, as it has never been used in FSA studies. A commonly used construction method and some basic event ordering methods of BDD are described. By applying BDD to FTA, two main issues concerned in FSA, minimal cut set and top event probability, can be obtained efficiently and accurately comparing to the analysis using a conventional FTA method.
  • Keywords
    binary decision diagrams; fault trees; marine engineering; marine safety; organisational aspects; risk analysis; BDD method; FTA approach; binary decision diagram; cost benefit assessment; event ordering methods; fault tree analysis method; formal safety assessment; hazard identification; international maritime organization; maritime safety; minimal cut set probability; risk analysis techniques; risk management; systematic process; top event probability; Binary decision diagrams; Boolean functions; Data structures; Fault trees; Health and safety; Marine safety; Protection; Risk analysis; Risk management; US Department of Transportation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ICISE), 2009 1st International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4909-5
  • Type

    conf

  • DOI
    10.1109/ICISE.2009.666
  • Filename
    5455351