• DocumentCode
    2128728
  • Title

    Diagnosing an analog feedback system using model-based reasoning

  • Author

    Tong, David W. ; Walther, Eckart ; Zalondek, Kevin C.

  • Author_Institution
    General Electric Co., Schenectady, NY, USA
  • fYear
    1989
  • fDate
    27-31 Mar 1989
  • Firstpage
    290
  • Lastpage
    295
  • Abstract
    The approach developed by J. de Kleer and B.C. Williams (1987) has been extended to diagnose steady-state faults in an analog feedback system. A prototype system called AMFI (automated model-based fault isolation) is described which automatically diagnoses a target system given only information on the connectivity and component transfer functions. The prototype detects inconsistencies among measurements, calculates single- and multiple-fault hypotheses and their probabilities, and suggests the best next measurement
  • Keywords
    automatic testing; control engineering computing; expert systems; feedback; maintenance engineering; AMFI; analog feedback system; automated model-based fault isolation; component transfer functions; connectivity; diagnostic system; model-based reasoning; multiple-fault hypotheses; steady-state faults; Artificial intelligence; Circuit faults; Feedback loop; Humans; Inference mechanisms; Prototypes; Research and development; State feedback; Steady-state; Transfer functions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    AI Systems in Government Conference, 1989.,Proceedings of the Annual
  • Conference_Location
    Washington, DC
  • Print_ISBN
    0-8186-1934-1
  • Type

    conf

  • DOI
    10.1109/AISIG.1989.47337
  • Filename
    47337