• DocumentCode
    2168266
  • Title

    Robust fault detection using interval LPV models

  • Author

    Blesa, Joaquim ; Bolea, Yolanda ; Puig, Vicenc

  • Author_Institution
    Autom. Control Dept., Tech. Univ. of Catalonia, Barcelona, Spain
  • fYear
    2007
  • fDate
    2-5 July 2007
  • Firstpage
    1618
  • Lastpage
    1625
  • Abstract
    In this paper, robust fault detection using a passive robust approach interval based on generating an adaptive threshold for interval linear parameter varying (LPV) models is proposed. This approach allows to consider parameters and associated uncertainty intervals of such model dependence on the operating point. Additionally, a parameter estimation algorithm for interval LPV models is presented. Finally, an piece of a sewer system has been used to test the validity of the proposed approach.
  • Keywords
    fault diagnosis; linear parameter varying systems; parameter estimation; adaptive threshold; interval LPV models; interval linear parameter varying models; parameter estimation algorithm; passive robust approach interval; robust fault detection; sewer system; uncertainty intervals; Adaptation models; Computational modeling; Fault detection; Logic gates; Mathematical model; Robustness; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ECC), 2007 European
  • Conference_Location
    Kos
  • Print_ISBN
    978-3-9524173-8-6
  • Type

    conf

  • Filename
    7068814