• DocumentCode
    298966
  • Title

    Optimal input design for fault detection and diagnosis

  • Author

    Sadegh, P. ; Madsen, H. ; Holst, J.

  • Author_Institution
    Inst. of Math. Modeling, Tech. Univ. Denmark, Lyngby, Denmark
  • Volume
    2
  • fYear
    1995
  • fDate
    21-23 Jun 1995
  • Firstpage
    1147
  • Abstract
    In the paper, the design of optimal input signals for detection and diagnosis in a stochastic dynamical system is investigated. The design is based on maximization of Kullback measure between the model under fault and the model under normal operation conditions. It is established that the optimal input design for change detection when the magnitude of change is small is equivalent to optimal input design for parameter estimation
  • Keywords
    fault diagnosis; optimisation; stochastic systems; Kullback measure maximization; change detection; fault detection; fault diagnosis; optimal input design; optimal input signals; parameter estimation; stochastic dynamical system; Fault detection; Fault diagnosis; Mathematical model; Monitoring; Parameter estimation; Signal design; Signal detection; Statistics; Stochastic processes; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, Proceedings of the 1995
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    0-7803-2445-5
  • Type

    conf

  • DOI
    10.1109/ACC.1995.520927
  • Filename
    520927