• DocumentCode
    3524275
  • Title

    Fault detection and isolation of sequential multiples faults in dynamic linear systems

  • Author

    Jamouli, H. ; Sauter, D.

  • Author_Institution
    Nat. Sch. of Appl. Sci. of Agadir, Ibn Zohr Univ., Agadir, Morocco
  • fYear
    2010
  • fDate
    23-25 June 2010
  • Firstpage
    466
  • Lastpage
    470
  • Abstract
    This paper presents an adaptive generalized likelihood ratio (GLR) test for multiple faults detection and isolation in dynamic stochastic linear systems. For sequential fault detection, the adaptive GLR test confronts the fault hypothesis Hkhj to the reference hypothesis Hk updating on line after each detection and isolation of one fault. The proposed scheme is based on the design of the fault detection filter and on the GLR test applied on the filter innovation.
  • Keywords
    adaptive systems; discrete time systems; fault diagnosis; filters; linear systems; stochastic systems; adaptive GLR test; adaptive generalized likelihood ratio; discrete-time stochastic linear systems; dynamic stochastic linear systems; fault detection filter; fault hypothesis; fault isolation; filter innovation; sequential fault detection; sequential multiples faults; Fault detection; Filtering theory; Linear systems; Maximum likelihood detection; Redundancy; Stochastic processes; Technological innovation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control & Automation (MED), 2010 18th Mediterranean Conference on
  • Conference_Location
    Marrakech
  • Print_ISBN
    978-1-4244-8091-3
  • Type

    conf

  • DOI
    10.1109/MED.2010.5547712
  • Filename
    5547712
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3524275