• DocumentCode
    3548877
  • Title

    Testing a Parametric Fault Detection Method

  • Author

    Felício, Paulo A S A ; Lourtie, Pedro M G

  • Author_Institution
    Inst. Politecnico de Setubal, Escola Superior de Tecnologia, Setubal
  • fYear
    2005
  • fDate
    27-29 June 2005
  • Firstpage
    849
  • Lastpage
    854
  • Abstract
    A new method for parametric fault detection was presented at the ACC2002[Felecio, P., et. al, "Applying parametric fault detection to a mechanical system", Proceedings of the American Control Conference, pp. 139-144, May 2002]. The method uses linear fractional transformations to represent parameter variations and relies on Hinfin filtering for the estimation of certain signals that may allow the computation of those variations. The present paper reports results on another test to the method. Although the previous results indicated it could perform well it is shown this is not the case for the simple electric system treated here. Comparisons are made to previous results and to the results of a conventional recursive least squares identification method for the same electric circuit parametric fault detection task. Conclusions show the new method may be of limited application
  • Keywords
    Hinfin control; RLC circuits; electrical faults; fault diagnosis; filtering theory; identification; testing; transforms; Hinfin filtering; parameter variations; parametric fault detection method testing; signal estimation; simple electric system; Circuit faults; Circuit testing; Electrical fault detection; Equations; Fault detection; Fault diagnosis; Least squares methods; Parameter estimation; RLC circuits; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control, 2005. Proceedings of the 2005 IEEE International Symposium on, Mediterrean Conference on Control and Automation
  • Conference_Location
    Limassol
  • ISSN
    2158-9860
  • Print_ISBN
    0-7803-8936-0
  • Type

    conf

  • DOI
    10.1109/.2005.1467125
  • Filename
    1467125