• DocumentCode
    3313459
  • Title

    An extended qualitative multi-faults diagnosis from first principles I: Theory and modelling

  • Author

    Hu, He-xuan ; Gehin, Anne-Lise ; Bayart, Mireille

  • Author_Institution
    Lab. d´´Autom., Genie Inf. & Signal, Univ. des Sci. et Technol. de Lille, Villeneuve-d´´Ascq, France
  • fYear
    2009
  • fDate
    15-18 Dec. 2009
  • Firstpage
    1008
  • Lastpage
    1013
  • Abstract
    This paper is part I of a two part effort that is intended to present a framework of multi-faults diagnosis. Reiter has proposed a consistency-based approach for multi-faults diagnosis. We extend his theory to deal with the dynamic and continuous systems and offer a necessary assumption and a formal demonstration. Multi-faults diagnosis is a partially observable problem because there is usually not enough information about faults. So the STRIPS, a classic technique of automated planning, is chosen to build the system model. It provides the reasoning ability for the multi-faults diagnosis when diagnosis is formalized as reasoning from effects to causes with causal knowledge.
  • Keywords
    causality; continuous systems; fault diagnosis; observability; planning (artificial intelligence); STRIPS; automated planning; causal knowledge; continuous systems; dynamic systems; extended qualitative multifaults diagnosis; partially observable problem; reasoning ability; Automata; Automatic control; Continuous time systems; Control systems; Differential equations; Fault diagnosis; Logic; Mathematical model; Physics; Water;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on
  • Conference_Location
    Shanghai
  • ISSN
    0191-2216
  • Print_ISBN
    978-1-4244-3871-6
  • Electronic_ISBN
    0191-2216
  • Type

    conf

  • DOI
    10.1109/CDC.2009.5400641
  • Filename
    5400641