• DocumentCode
    486034
  • Title

    Instrument Failure Detection in Nonlinear Systems

  • Author

    Tylee, J.Louis ; Purviance, John E.

  • Author_Institution
    EG&G Idaho, Inc., P.O. Box 1625, Idaho Falls, Idaho 83415; Department of Electrical Engineering, University of Idaho, Moscow, Idaho 83843
  • fYear
    1984
  • fDate
    6-8 June 1984
  • Firstpage
    271
  • Lastpage
    273
  • Abstract
    A simple approach to detecting instrument failures in dynamic systems described by nonlinear continuous differential equations is presented and evaluated. The method uses an extended Kalman filter to generate an innovations (or residuals) vector. Threshold crossing checks on the mean and variance of elements in this vector are used to ascertain existence of failure. The approach is demonstrated using data from a nuclear reactor.
  • Keywords
    Coolants; Filters; Inductors; Instruments; Noise measurement; Nonlinear equations; Nonlinear systems; Reactor instrumentation; Technological innovation; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 1984
  • Conference_Location
    San Diego, CA, USA
  • Type

    conf

  • Filename
    4788388
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=486034