• DocumentCode
    2598726
  • Title

    Modelling and analysing fault propagation in safety-related systems

  • Author

    Iwu, Frantz ; Toyn, Ian

  • Author_Institution
    Dept. of Comput. Sci., York Univ., UK
  • fYear
    2003
  • fDate
    3-4 Dec. 2003
  • Firstpage
    167
  • Lastpage
    174
  • Abstract
    A formal specification for analysing and implementing multiple fault diagnosis software is proposed in this paper. The specification computes all potential fault sources that correspond to a set of triggered alarms for a safety-related system, or part of a system. The detection of faults occurring in a safety-related system is a fundamental function that needs to be addressed efficiently. Safety monitors for fault diagnosis have been extensively studied in areas such as aircraft systems and chemical industries. With the introduction of intelligent sensors, diagnosis results are made available to monitoring systems and operators. For complex systems composed of thousands of components and sensors, the diagnosis of multiple faults and the computational burden of processing test results are substantial. This paper addresses the multiple fault diagnosis problem for zero-time propagation using a fault propagation graph. Components represented as nodes in a fault propagation graph are allocated with alarms. When faults occur and are propagated some of these alarms are triggered. The allocation of alarms to nodes is based on a severity analysis performed using a form of failure mode and effect analysis on components in the system.
  • Keywords
    fault diagnosis; formal specification; object-oriented programming; program testing; safety-critical software; aircraft systems; chemical industry; fault detection; fault diagnosis software; fault propagation; formal specification; intelligent sensors; safety monitors; safety-related systems; severity analysis; software component; zero-time propagation; Air safety; Aircraft; Chemical industry; Failure analysis; Fault detection; Fault diagnosis; Formal specifications; Intelligent sensors; Monitoring; Performance analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering Workshop, 2003. Proceedings. 28th Annual NASA Goddard
  • Print_ISBN
    0-7695-2064-2
  • Type

    conf

  • DOI
    10.1109/SEW.2003.1270740
  • Filename
    1270740