• DocumentCode
    2270550
  • Title

    Information model for power equipment diagnosis and maintenance

  • Author

    Dong, Xuzhu ; Liu, Yilu ; LoPinto, Frank A. ; Scheibe, Kevin P. ; Sheetz, Steven D.

  • Author_Institution
    Dept. of Electr. Eng., Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA
  • Volume
    1
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    701
  • Abstract
    Existing maintenance experience and failure analysis are critical to equipment diagnosis and maintenance. Current maintenance information management cannot satisfy the convenient access, exchange, and sharing of the maintenance information. This paper develops a uniform information model used for data organization, access, sharing, and archiving related to equipment diagnosis and maintenance. The modeled information includes equipment and its components, measurement data, failure cases, documentation, etc. With this information model, diagnosis and maintenance information collected by one utility can be easily accessed and shared by other utilities, or applications. As an example, a conceptual digital library for power equipment diagnosis and maintenance is discussed to validate the information model.
  • Keywords
    digital libraries; information systems; maintenance engineering; power apparatus; power engineering computing; specification languages; UML; common information model; conceptual digital library; data access; data archiving; data organization; data sharing; documentation; failure cases; maintenance; maintenance information management; measurement data; power equipment diagnosis; power equipment maintenance; universal modeling language; Computer integrated manufacturing; Databases; Documentation; Failure analysis; History; Information management; Power measurement; Software libraries; Testing; Unified modeling language;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society Winter Meeting, 2002. IEEE
  • Print_ISBN
    0-7803-7322-7
  • Type

    conf

  • DOI
    10.1109/PESW.2002.985093
  • Filename
    985093