• DocumentCode
    2849268
  • Title

    Fault diagnosis for discrete systems with delayed outputs

  • Author

    Li, Juan ; Zhao, You-Gang ; Mu, Li-Jun

  • Author_Institution
    Coll. of Mech. & Electr. Eng., Qingdao Agric. Univ., Qingdao, China
  • fYear
    2010
  • fDate
    26-28 May 2010
  • Firstpage
    701
  • Lastpage
    706
  • Abstract
    Observer-based fault diagnosis approach is researched for discrete systems with delayed outputs in this note. To solve the difficulty of fault diagnosis caused by delayed outputs of discrete systems, a discrete delay-free transformation approach is presented for delayed outputs, and the problem of fault diagnosis for discrete systems with delayed outputs is transformed into the problem of state observation of a discrete delay-free augmented system by constructing an augmented system and doing the delay-free transformations. A novel observer-based fault diagnosis approach is presented, which is different from the traditional observer-based fault diagnosis approaches by using residual to embody faults. Compared with the traditional observer-based fault diagnosis approaches, the proposed fault diagnoser has the faster response speed and higher accuracy. Finally, the feasibility and effectiveness of the proposed approaches are validated by a numerical example.
  • Keywords
    delay systems; discrete systems; fault diagnosis; observers; delayed outputs; discrete delay-free augmented system; discrete delay-free transformation approach; discrete systems; observer-based fault diagnosis approach; Control systems; Delay effects; Delay systems; Educational institutions; Educational technology; Electrical fault detection; Fault detection; Fault diagnosis; Networked control systems; Nominations and elections; Discrete Systems; Fault Diagnosis; Observer; Time-Delay Systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2010 Chinese
  • Conference_Location
    Xuzhou
  • Print_ISBN
    978-1-4244-5181-4
  • Electronic_ISBN
    978-1-4244-5182-1
  • Type

    conf

  • DOI
    10.1109/CCDC.2010.5498917
  • Filename
    5498917