• DocumentCode
    1738483
  • Title

    A framework for inferential problems in DEDS. III. Fault diagnosis

  • Author

    Mukhopadhay, S. ; Bhowal, Prodip ; Basu, Anupa M.

  • Author_Institution
    Dept. of Electr. Eng., Indian Inst. of Technol., Kharagpur, India
  • Volume
    3
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    2138
  • Abstract
    For pt. II, see ibid., pp. 2168-73 (2000). Discusses the problem of fault diagnosis in a discrete event dynamic system (DEDS). We consider the timed transition model (TTM) framework for modeling DEDS behavior over time. We continue our discussion of issues related to modeling and state observation in TTMs for systems with unmeasurable variables by first discussing how faults are modeled in the extended framework of Part I (see ibid., pp. 2162-7, 2000). We then discuss the problem of state observation with delay, originally discussed in the context of finite state machines by C.M. Ozveren et al. (1990) and S. Bose et al. (1994). Finally, we show how a “with-delay observer” can be used for the detection and diagnosis of faults in a system modeled as a DEDS using the TTM framework
  • Keywords
    delays; diagnostic reasoning; discrete event systems; fault diagnosis; measurement theory; observers; reduced order systems; temporal reasoning; discrete event dynamic system; fault detection; fault diagnosis; fault modelling; finite state machines; inferential problem framework; measurement equivalence; measurement reduced model; state observation; timed transition model; unmeasurable variables; with-delay observer; Automata; Automatic control; Communication channels; Delay; Fault detection; Fault diagnosis; Observability; Time measurement; Time to market; Timing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics, 2000 IEEE International Conference on
  • Conference_Location
    Nashville, TN
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-6583-6
  • Type

    conf

  • DOI
    10.1109/ICSMC.2000.886432
  • Filename
    886432