• DocumentCode
    3269587
  • Title

    Fault detection and isolation for uncertain systems

  • Author

    Idrissi, Hicham Janati ; Kratz, Frederic ; Ragot, José

  • Author_Institution
    Centre de Recherche en Autom. de Nancy, Vandoeuvre-les-Nancy, France
  • Volume
    4
  • fYear
    2002
  • fDate
    10-13 Dec. 2002
  • Firstpage
    4748
  • Abstract
    The goal of this paper is to extend the fault detection procedure for MIMO system in order to isolate an anomaly once its presence detected, while insisting on the difficulties encountered within the framework of the set-membership approach. The proposed method is presented initially to deal with the case where only one fault may affect the system at a given moment then it is extended to the case of several faults while respecting a certain assumption. A fault can be either a parameter deviation (appearing in a multiplicative way in the model), or a bias affecting one of system outputs (appearing in an additive way). In both cases, a procedure of fault isolation is proposed in order to properly identify the failing component.
  • Keywords
    MIMO systems; fault location; uncertain systems; MIMO system; anomaly; failing component; fault detection; fault isolation; parameter deviation; uncertain systems; Fault detection; Fault diagnosis; Fluctuations; MIMO; Mathematical model; Robot vision systems; Robotics and automation; Signal analysis; Statistical analysis; Uncertain systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2002, Proceedings of the 41st IEEE Conference on
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-7516-5
  • Type

    conf

  • DOI
    10.1109/CDC.2002.1185130
  • Filename
    1185130