• DocumentCode
    657529
  • Title

    Fault-class-aware fault tree generation and analysis

  • Author

    Tai, Ann T. ; Walter, Chris J. ; Fesq, Lorraine M. ; Day, John C.

  • fYear
    2013
  • fDate
    4-7 Nov. 2013
  • Firstpage
    84
  • Lastpage
    84
  • Abstract
    Over decades, fault-tree has remained as one of the most widely used fault management (FM) mechanisms by practitioners as a visualization/communication media, as well as a quantitative analysis tool for building dependable systems. Nonetheless, to date fault tree analysis is often unable to provide us with high-confidence results due to potential misrepresentation of the relationships among failure events. In retrospect, catastrophic system failures were almost always caused by a chain of mixed fault manifestation and interaction. Moreover, faults in FM itself may become a critical element in a fault-manifestation chain. The 1996 Ariane-5 rocket self-destruction provides us with a lesson on the devastating consequence of inappropriate FM application. Such prior lessons have inspired us to propose a fault-class-aware and FM-capability-aware fault tree analysis framework.
  • Keywords
    fault diagnosis; fault trees; system recovery; Ariane-5 rocket self-destruction; catastrophic system failure; failure events; fault management mechanism; fault manifestation chain; fault tree analysis; fault-class-aware fault tree generation; quantitative analysis tool; Buildings; Electronic mail; Fault trees; Frequency modulation; Media; Statistical analysis; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Reliability Engineering Workshops (ISSREW), 2013 IEEE International Symposium on
  • Conference_Location
    Pasadena, CA
  • Type

    conf

  • DOI
    10.1109/ISSREW.2013.6688878
  • Filename
    6688878