• DocumentCode
    2993563
  • Title

    Study on intelligent maintenance decision support system using for power plant equipment

  • Author

    Xiao-Feng, Dong ; Yu-Jiong, Gu ; Kun, Yang

  • Author_Institution
    Sch. of Energy & Power Eng., North China Electr. Power Univ., Beijing
  • fYear
    2008
  • fDate
    1-3 Sept. 2008
  • Firstpage
    96
  • Lastpage
    100
  • Abstract
    With the developing of industry, maintenance has become an important factor that influences survival and development of business. As an interdisciplinary activity, maintenance management needs technical support from computer decision support system when using that knowledge. There are numerous pieces of equipment in a power plant, but the maintenance requirements are different for different equipment. Making condition based maintenance in a power plant is a systemic and integrative maintenance management activity which needs a special maintenance decision support system. As a main developing direction of decision support system, intelligent decision support system has got a comprehensive and successful application in many domains. According to the characteristic of operation and maintenance in a power plant, an intelligent maintenance decision support system is designed in this paper where the system goal, function, framework and platform are particularly introduced.
  • Keywords
    condition monitoring; decision support systems; maintenance engineering; power plants; computer decision support system; condition based maintenance; intelligent maintenance decision support system; maintenance management; power plant equipment; power plant maintenance; power plant operation; Decision support systems; Degradation; Energy management; Intelligent systems; Knowledge management; Maintenance; Power generation; Power system management; Production systems; Quality management; Condition based maintenance; Decision support system; Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation and Logistics, 2008. ICAL 2008. IEEE International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4244-2502-0
  • Electronic_ISBN
    978-1-4244-2503-7
  • Type

    conf

  • DOI
    10.1109/ICAL.2008.4636127
  • Filename
    4636127