• DocumentCode
    2569845
  • Title

    Diagnosis of hybrid systems: Part 1- diagnosability

  • Author

    Mohammadi, R. ; Hashtrudi-Zad, S. ; Khorasani, K.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, QC, Canada
  • fYear
    2009
  • fDate
    11-14 Oct. 2009
  • Firstpage
    3334
  • Lastpage
    3339
  • Abstract
    In this paper, we investigate fault diagnosis and diagnosability in hybrid systems modeled by hybrid automata. Generally, in hybrid systems, there are discrete sensors generating discrete outputs available at the discrete-event system representation of the system and continuous sensors generating continuous outputs available at the continuous dynamics. We assume that there is a bank of residual generators (using continuous sensors) designed for the continuous dynamics of the system. We present a hybrid diagnosis approach in which faults are diagnosed by integrating the information generated by the residual generators and the information at the discrete-event system representation of the system. We investigate the diagnosability of faults in the hybrid diagnosis framework.
  • Keywords
    automata theory; discrete event systems; fault diagnosis; sensors; continuous dynamics; continuous sensor; diagnosability method; discrete sensor; discrete-event system representation; fault diagnosis; hybrid automata; hybrid system; residual generator; Automata; Cybernetics; Discrete event systems; Engines; Fault diagnosis; Fuels; Hybrid power systems; Sensor systems; Temperature sensors; Turbines; Fault diagnosis; diagnosability; finite-state automata; hybrid systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on
  • Conference_Location
    San Antonio, TX
  • ISSN
    1062-922X
  • Print_ISBN
    978-1-4244-2793-2
  • Electronic_ISBN
    1062-922X
  • Type

    conf

  • DOI
    10.1109/ICSMC.2009.5346204
  • Filename
    5346204