• DocumentCode
    994268
  • Title

    Robust Fault Diagnosis by Using Bond Graph Approach

  • Author

    Djeziri, Mohand Arab ; Merzouki, Rochdi ; Bouamama, Belkacem Ould ; Dauphin-Tanguy, Genevieve

  • Author_Institution
    Ecole Centrale de Lille, Villeneuve-d´´Ascq
  • Volume
    12
  • Issue
    6
  • fYear
    2007
  • Firstpage
    599
  • Lastpage
    611
  • Abstract
    This paper deals with the generation of fault indicators and residual thresholds in the presence of parameter uncertainties by using a bond graph representation in linear fractional transformation (LFT) form. The residuals´ sensitivity analysis, which is based on the fault detectability indexes, is used for residuals evaluation. The developed algorithms are applied on an electromechanical test bench system for on-line fault detection and isolation. Simulation and experimental tests show the influence of dead zone magnitude and variations of system parameters on the residuals.
  • Keywords
    bond graphs; fault diagnosis; sensitivity analysis; bond graph approach; bond graph representation; dead zone magnitude; electromechanical test bench system; fault detectability indexes; fault indicators; linear fractional transformation; online fault detection; parameter uncertainty; residual thresholds; robust fault diagnosis; sensitivity analysis; Bonding; Electrical fault detection; Fault detection; Fault diagnosis; Fuzzy logic; Mechatronics; Robustness; Sensitivity analysis; System testing; Uncertain systems; Bond graph; fault detection and isolation (FDI); linear fractional transformation (LFT); mechatronic systems; parameter uncertainties; residuals´ sensitivity analysis;
  • fLanguage
    English
  • Journal_Title
    Mechatronics, IEEE/ASME Transactions on
  • Publisher
    ieee
  • ISSN
    1083-4435
  • Type

    jour

  • DOI
    10.1109/TMECH.2007.912746
  • Filename
    4392830