• DocumentCode
    2020324
  • Title

    Failure detection using optimal parity vector sensitive to special sensor failure

  • Author

    Jin, Hong ; Zhang, Hongyue

  • Author_Institution
    Dept. of Autom. Control, Beijing Univ. of Aeronaut. & Astronaut., China
  • fYear
    1996
  • fDate
    8-11 Dec 1996
  • Firstpage
    55
  • Lastpage
    61
  • Abstract
    Based on the parity space construction and the orthogonal constraint condition of parity vector, the approach of failure detection and isolation using optimal parity vector is presented in this paper. Its main idea is to design a performance criterion which is similar to the one proposed by Zhang and Patton (1993), but most sensitive to designated sensor´s failure and least sensitive to other sensor´s failure and unknown inputs such as noises. Through the Monte-Carlo simulation, it is shown that the approach of choosing optimal parity vector greatly increases the ability of failure detection and the effectiveness of failure isolation is better than the generalised likelihood test approach
  • Keywords
    fault diagnosis; matrix algebra; optimisation; redundancy; sensors; vectors; failure detection; failure isolation; matrix algebra; optimal parity vector; optimisation; orthogonal constraint condition; parity space; redundant sensor systems; sensor failure; Covariance matrix; Equations; Fault detection; Gaussian noise; Loss measurement; Noise measurement; Noise robustness; State-space methods; Testing; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multisensor Fusion and Integration for Intelligent Systems, 1996. IEEE/SICE/RSJ International Conference on
  • Conference_Location
    Washington, DC
  • Print_ISBN
    0-7803-3700-X
  • Type

    conf

  • DOI
    10.1109/MFI.1996.568499
  • Filename
    568499