• DocumentCode
    2699037
  • Title

    Research on condition based maintenance mode of military power plant

  • Author

    Yin, Zhi-Yong ; Zhao, Jin-Cheng ; Zhang, Ling

  • Author_Institution
    Dept. of Electr. Eng., Ordnance Eng. Coll., Shijiazhuang, China
  • fYear
    2012
  • fDate
    15-18 June 2012
  • Firstpage
    480
  • Lastpage
    483
  • Abstract
    In order to reduce the equipment fault and maintenance time, increase the availability and residual life of the important components, the application of condition based maintenance (CBM) technology has become the focus in maintenance field. This paper introduces the application of CBM on fault detect of military power plant equipment, expounds on the research and application actualities of CBM according to military mobile power plant maintenance requirement and technology. On the basis of the analysis of the necessity and feasibility of CBM on fault detect mode, which puts forward the CBM system framework for military power plant, and explains in detail the core modules, the key technologies (state information acquisition and monitoring, testing and diagnosis based on embedded system, data mining and information fusion, fault diagnosis and prediction, and maintenance strategy), presents the CBM system workflow. Finally, it discusses the development of CBM and the research proves that CBM has great application prospect for fault detect of military mobile power plant.
  • Keywords
    computerised monitoring; condition monitoring; fault diagnosis; maintenance engineering; military systems; mobile power plants; CBM system framework; CBM system workflow; application actualities; condition based maintenance mode; condition based maintenance technology; core modules; data mining; embedded system; equipment fault; fault detect mode; fault diagnosis; fault prediction; information fusion; maintenance field; maintenance strategy; maintenance time; military mobile power plant maintenance requirement; military power plant equipment; residual life; state information acquisition; state information monitoring; Analytical models; Fault diagnosis; Maintenance engineering; Military equipment; Monitoring; Power generation; Predictive models; condition based maintenance; key technologies; military power plant; system framework; workflow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Quality, Reliability, Risk, Maintenance, and Safety Engineering (ICQR2MSE), 2012 International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4673-0786-4
  • Type

    conf

  • DOI
    10.1109/ICQR2MSE.2012.6246278
  • Filename
    6246278