• DocumentCode
    1325553
  • Title

    Robust fault diagnosis for large-scale analog circuits with measurement noises

  • Author

    Sheu, Hsin-Teng ; Chang, Yuen-Haw

  • Author_Institution
    Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan
  • Volume
    44
  • Issue
    3
  • fYear
    1997
  • fDate
    3/1/1997 12:00:00 AM
  • Firstpage
    198
  • Lastpage
    209
  • Abstract
    A hierarchical frequency-domain robust component failure detection (RCFD) scheme is proposed for the diagnosis of large-scale analog circuits with measurement noises based on the design of robust detection filters and robust residual thresholds. The robust residuals generated by the robust detection filters are employed to realize both fault isolation (FI) and component failure detection (CFD). A procedure for the design of robust detection filters is proposed and the associated rule for the selection of measurement variables is suggested. Furthermore, the effect of the measurement noises to the diagnostic result can be reduced by the proper design of residual thresholds, and the robustness of the diagnosis is enhanced. Finally, an example is illustrated to show the efficacy of the proposed method
  • Keywords
    analogue circuits; circuit noise; failure analysis; fault diagnosis; frequency-domain analysis; measurement errors; network analysis; detection filter design procedure; fault isolation; hierarchical frequency-domain detection; large-scale analog circuits; measurement noises; robust component failure detection; robust detection filters; robust fault diagnosis; robust residual thresholds; Analog circuits; Circuit noise; Electrical fault detection; Fault detection; Fault diagnosis; Filters; Frequency measurement; Large-scale systems; Noise measurement; Noise robustness;
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7122
  • Type

    jour

  • DOI
    10.1109/81.557362
  • Filename
    557362