• DocumentCode
    1475293
  • Title

    Fault Detection and Isolation of Linear Impulsive Systems

  • Author

    Meskin, N. ; Khorasani, K.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, QC, Canada
  • Volume
    56
  • Issue
    8
  • fYear
    2011
  • Firstpage
    1905
  • Lastpage
    1910
  • Abstract
    This technical note investigates the development of fault detection and isolation (FDI) filters for linear impulsive systems. The concept of an unobservability subspace is introduced for linear impulsive systems and an algorithm for its construction is described. The necessary and sufficient conditions for solvability of the fundamental problem of residual generation for linear impulsive systems are obtained by utilizing our introduced unobservability subspace. Simulation results demonstrate the effectiveness of our proposed FDI strategy.
  • Keywords
    computability; fault diagnosis; linear systems; observability; FDI strategy; fault detection; isolation filter; linear impulsive system; residual generation; unobservability subspace; Actuators; Artificial intelligence; Bismuth; Equations; Fault detection; Noise; Fault detection and isolation (FDI); geometric FDI; linear impulsive systems; unobservability subspaces;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.2011.2129950
  • Filename
    5734797