• DocumentCode
    3467525
  • Title

    Intelligent fault diagnosis system based on UML

  • Author

    Wang, Binli ; Wang, Lina

  • Author_Institution
    Sch. of Inf. & Electron. Eng., Hebei Univ. of Eng., Handan, China
  • Volume
    2
  • fYear
    2009
  • fDate
    5-6 Dec. 2009
  • Firstpage
    233
  • Lastpage
    236
  • Abstract
    In this paper, it is united that the ordinary software project method and the object-oriented method. The object-oriented analysis, the object-oriented design and the object-oriented modeling in the intelligent fault diagnosis system with UML is introduced, which decreases the complexity of the intelligent fault diagnosis system that is more manageable. The diagnostic reasoning adopts the technique of expert system and reasoning under uncertainty. The intelligent fault diagnosis system is a very important part of the power station simulation system. With the data gathered from the devices or the converted parameters, it can find the devices which are out of order by reasoning. The diagnostic reasoning adopts the technique of expert system and reasoning under uncertainty.
  • Keywords
    Unified Modeling Language; expert systems; fault diagnosis; object-oriented methods; power station control; software engineering; uncertainty handling; Unified Modeling Language; diagnostic reasoning; expert system; intelligent fault diagnosis system; object-oriented analysis; object-oriented design; object-oriented method; power station simulation system; software project method; uncertainty reasoning; Diagnostic expert systems; Fault diagnosis; Intelligent systems; Object oriented modeling; Out of order; Power generation; Power system management; Power system modeling; Uncertainty; Unified modeling language; UML; intelligent fault diagnosis system; modeling; object-oriented; simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Test and Measurement, 2009. ICTM '09. International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-4699-5
  • Type

    conf

  • DOI
    10.1109/ICTM.2009.5413067
  • Filename
    5413067