• DocumentCode
    2761755
  • Title

    Case-based reasoning: diagnosis of faults in complex systems through reuse of experience

  • Author

    Derere, L.

  • Author_Institution
    GenRad Ltd., UK
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    27
  • Lastpage
    34
  • Abstract
    Case Based Reasoning (CBR) is a technique for solving problems based on experience. The technique´s intuitive approach is finding increasing use in complex system diagnostics. This paper describes the principles of CBR, its benefits and some of the problems associated with the initial capture of experience data. One approach aimed at improving initial data capture using Model Based Reasoning (MBR) techniques is also introduced. A real-life implementation of CBR is discussed, describing how the technique has been applied in the diagnosis of faults on diesel-electric freight locomotives
  • Keywords
    case-based reasoning; diesel-electric locomotives; fault diagnosis; model-based reasoning; case-based reasoning; complex system; data capture; diesel-electric freight locomotive; experience reuse; fault diagnosis; intuition; model-based reasoning; Databases; Diesel engines; Fault diagnosis; Feedback; Fuel pumps; Hydraulic systems; Medical diagnostic imaging; Process design; Testing; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Test Conference, 2000. Proceedings. International
  • Conference_Location
    Atlantic City, NJ
  • ISSN
    1089-3539
  • Print_ISBN
    0-7803-6546-1
  • Type

    conf

  • DOI
    10.1109/TEST.2000.894147
  • Filename
    894147