• DocumentCode
    2357965
  • Title

    All from one, one for all, failure diagnosis of discrete event system using representatives

  • Author

    Pencolé, Yannick

  • Author_Institution
    CSL, Australian Nat. Univ., Canberra, ACT, Australia
  • fYear
    2003
  • fDate
    3-5 Nov. 2003
  • Firstpage
    208
  • Lastpage
    212
  • Abstract
    Failure diagnosis in large and complex systems is a critical and challenging task. In the realm of model based diagnosis on discrete event systems, computing a failure diagnosis means computing the set of system behaviours that could explain observations. Depending on the diagnosed system, such behaviours can be numerous, so that a problem of representing them is induced. The paper discusses about this problem and presents a way of representing a diagnosis by the use of a partial order reduction technique.
  • Keywords
    artificial intelligence; discrete event systems; failure analysis; fault diagnosis; artificial intelligence; complex systems; discrete event system; failure diagnosis; partial order reduction; system behavior; Artificial intelligence; Australia; Automata; Communication networks; Communication switching; Communication system control; Control systems; Discrete event systems; Fault diagnosis; Switches;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence, 2003. Proceedings. 15th IEEE International Conference on
  • ISSN
    1082-3409
  • Print_ISBN
    0-7695-2038-3
  • Type

    conf

  • DOI
    10.1109/TAI.2003.1250192
  • Filename
    1250192