• DocumentCode
    300519
  • Title

    A data compression scheme for real-time fault detection and identification of linear time invariant systems

  • Author

    Biglari, Haik

  • Author_Institution
    Sverdrup Technol. Inc., Huntsville, AL, USA
  • Volume
    1
  • fYear
    1995
  • fDate
    21-23 Jun 1995
  • Firstpage
    607
  • Abstract
    This paper describes an interrogation based fault detection and identification (FDI) scheme for a class of large scale systems which are linear time-invariant. The formulation is suitable for implementation on digital signal processors which can operate in a real-time environment. Furthermore, a data compression scheme is presented which reduces the total amount of data to be stored and processed from (n3+n 2) to (n2+n)
  • Keywords
    MIMO systems; data compression; fault diagnosis; fault location; large-scale systems; linear systems; data compression scheme; digital signal processors; interrogation based method; large scale systems; linear time invariant systems; real-time fault detection and identification; Data compression; Digital signal processors; Eigenvalues and eigenfunctions; Equations; Fault detection; Fault diagnosis; Large-scale systems; Real time systems; Time invariant systems; White noise;
  • 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.1995.529321
  • Filename
    529321
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=300519