• DocumentCode
    3222318
  • Title

    Fault isolation and identification based on adaptive parameter intervals for nonlinear dynamic systems

  • Author

    Li, Zetao ; Dahhou, Boutaieb

  • Author_Institution
    Electr. Eng. Coll., Guizhou Univ., Guiyang, China
  • fYear
    2010
  • fDate
    9-11 June 2010
  • Firstpage
    1525
  • Lastpage
    1530
  • Abstract
    A fault isolation and identification method for nonlinear dynamic systems is proposed. The method is based on parameter intervals with adaptive thresholds. Its isolation speed is fast. It provides immediately the estimate of the system faulty parameter value after the fault isolation. The superior and inferior bounds of the faulty parameter are also given. Along with the operations of the correspondent adaptive observer, the estimate of the system faulty parameter becomes more and more precise.
  • Keywords
    adaptive systems; nonlinear dynamical systems; observers; adaptive observer; adaptive parameter intervals; fault identification; fault isolation; nonlinear dynamic systems; system faulty parameter value estimation; Adaptive filters; Automatic control; Control systems; Estimation error; Fault detection; Fault diagnosis; Nonlinear control systems; Nonlinear dynamical systems; Observers; State estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Automation (ICCA), 2010 8th IEEE International Conference on
  • Conference_Location
    Xiamen
  • ISSN
    1948-3449
  • Print_ISBN
    978-1-4244-5195-1
  • Electronic_ISBN
    1948-3449
  • Type

    conf

  • DOI
    10.1109/ICCA.2010.5524445
  • Filename
    5524445