• DocumentCode
    2934580
  • Title

    Diagnosing electrical and electronic systems in an intelligent environment

  • Author

    Bolton, A.G. ; Pourbeik, P. ; Jain, L.C.

  • Author_Institution
    Defence Sci. & Technol. Organ., Salisbury, SA, Australia
  • fYear
    1995
  • fDate
    23-25 May 1995
  • Firstpage
    217
  • Lastpage
    225
  • Abstract
    There is a growing interest in intelligent tools in the area of fault detection and diagnosis in electrical and electronic systems. This paper reports the progress made in the development of a methodology for the diagnosis of electrical machines, with some encouraging initial results. An induction motor was chosen as an application of the knowledge based approach to fault diagnosis
  • Keywords
    diagnostic expert systems; electric machine analysis computing; failure analysis; fault diagnosis; squirrel cage motors; diagnostic expert systems; electrical fault diagnosis; electrical machine diagnosis; electrical systems diagnosis; electronic systems diagnosis; fault detection; fault diagnosis; induction motor; intelligent tools; knowledge based approach; squirrel cage induction motor; Australia; Circuit faults; Circuit testing; Design engineering; Electrical fault detection; Fault diagnosis; Induction motors; Intelligent systems; Knowledge engineering; Machine intelligence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Technology Directions to the Year 2000, 1995. Proceedings.
  • Conference_Location
    Adelaide, SA
  • Print_ISBN
    0-8186-7085-1
  • Type

    conf

  • DOI
    10.1109/ETD.1995.403469
  • Filename
    403469