• DocumentCode
    295244
  • Title

    Fault detection using state estimation. Application to an electromechanical process

  • Author

    Bousghiri-Kratz, S. ; Malassé, O. ; Nuninger, W.

  • Author_Institution
    CNRS, Centre de Recherche en Autom. de Nancy, Vandoeuvre-les-Nancy, France
  • Volume
    3
  • fYear
    1995
  • fDate
    13-15 Dec 1995
  • Firstpage
    2397
  • Abstract
    Presents a method in order to detect and localize sensor or actuator failures. This approach is based on redundancy analysis using data reconciliation. This procedure yields to a simultaneous state and input estimation through a sliding window. Using the concept of standardized least square residuals, residuals can be generated in a number of ways and a corresponding design of fault detection and fault isolation scheme can be presented. The authors verify the performances of their method on a real electromechanical system (DC engine)
  • Keywords
    DC motors; actuators; fault diagnosis; fault location; recursive estimation; redundancy; sensors; state estimation; state-space methods; actuator failures; data reconciliation; electromechanical process; fault detection; fault isolation; input estimation; redundancy analysis; sensor failures; sliding window; standardized least square residuals; state estimation; Actuators; Automatic control; Control systems; Fault detection; Noise measurement; Q measurement; Recursive estimation; Redundancy; Size measurement; State estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1995., Proceedings of the 34th IEEE Conference on
  • Conference_Location
    New Orleans, LA
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-2685-7
  • Type

    conf

  • DOI
    10.1109/CDC.1995.480698
  • Filename
    480698