• DocumentCode
    2913952
  • Title

    Fault diagnosis for a class of linear discrete-time systems based on adaptive algorithm

  • Author

    Kan, Rui ; Wang, Jian-Liang

  • Author_Institution
    Sch. of Electr.&Electron. Eng., Nanyang Technol. Univ., Singapore
  • fYear
    2008
  • fDate
    17-20 Dec. 2008
  • Firstpage
    1060
  • Lastpage
    1065
  • Abstract
    In this paper, for a class of discrete-time linear systems, a fault detection and diagnosis (FDD) method based on adaptive estimation is investigated, and its theoretical properties in detecting faults are established rigorously in the following cases: noise-free case, bounded noise case and l2 noise case respectively.
  • Keywords
    adaptive systems; discrete time systems; fault diagnosis; linear systems; noise; adaptive estimation; bounded noise case; fault detection; fault diagnosis; l2 noise case; linear discrete-time systems; noise-free case; Adaptive algorithm; Adaptive estimation; Control systems; Electrical fault detection; Fault detection; Fault diagnosis; Linear systems; Parameter estimation; Recursive estimation; Robotics and automation; Adaptive estimation; Discrete-time linear system; Fault detection and diagnosis (FDD);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation, Robotics and Vision, 2008. ICARCV 2008. 10th International Conference on
  • Conference_Location
    Hanoi
  • Print_ISBN
    978-1-4244-2286-9
  • Electronic_ISBN
    978-1-4244-2287-6
  • Type

    conf

  • DOI
    10.1109/ICARCV.2008.4795666
  • Filename
    4795666
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2913952