• DocumentCode
    3223117
  • Title

    Hazard analysis for safety-critical systems using SOFL

  • Author

    Binti Abdullah, Azma ; Shaoying Liu

  • Author_Institution
    Fac. of Comput. & Inf. Sci., Hosei Univ., Koganei, Japan
  • fYear
    2013
  • fDate
    16-19 April 2013
  • Firstpage
    133
  • Lastpage
    140
  • Abstract
    The most important mechanism for improving the safety of a system is to identify the hazard state of the system as it has the potential to cause an unexpected, unplanned or undesired event or a series of events. A hazard that occurs in a system could inevitably lead to an accident (loss event), which could result in an injury or illness or even loss of a human life, and the hazard could also have a negative impact on the environment. An approach in hazard analysis is proposed in this paper in order to avoid hazard from happening in a safety-critical system. The approach consists of three steps: (1) deriving hazards from safety properties, (2) using Fault Tree Analysis (FTA) to analyze the possible causes of each hazard, and (3) converting each minimal cut-set of FTA into a formal property in terms of variables used in the formal specification. A case study based on an Auto-cruise Control (ACC) system for vehicles is used as an example to illustrate the process.
  • Keywords
    control engineering computing; fault trees; formal specification; road vehicles; safety-critical software; ACC; FTA minimal cut-set; SOFL; auto-cruise control system; fault tree analysis; formal specification; hazard analysis; human life loss; illness; injury; safety properties; safety-critical systems; vehicles; Abstracts; Fault trees; Formal specifications; Hazards; Logic gates; Vehicles; hazard; hazard analysis; hazard identification; safety-critical systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence for Engineering Solutions (CIES), 2013 IEEE Symposium on
  • Conference_Location
    Singapore
  • Type

    conf

  • DOI
    10.1109/CIES.2013.6611740
  • Filename
    6611740