• DocumentCode
    2700240
  • Title

    Applications and research of prognostics and health management technology in the maintenance support system for armored equipment

  • Author

    Xu, Dan ; Liu, Weiwei ; Wang, Yuquan ; Wang, Bo

  • Author_Institution
    Acad. of Armored Forces Eng., Beijing, China
  • fYear
    2012
  • fDate
    15-18 June 2012
  • Firstpage
    776
  • Lastpage
    780
  • Abstract
    In order to overcome the limitation of traditional maintenance support and adapt to the development of the maintenance support for armored equipment, this paper puts forward the idea of constructing a maintenance support system for armored equipment based on PHM technology, emphatically analyses the key technology of the system, such as data acquisition and sensor technology, data mining and information fusion technology, health evaluation and fault prognostic technology, intelligent reasoning and decision support technology. This system can obviously improve the ability of fault diagnosis, reduce maintenance support expense.
  • Keywords
    data acquisition; data mining; decision support systems; fault diagnosis; maintenance engineering; mechanical engineering computing; PHM technology; armored equipment maintenance support system; data acquisition; data mining; decision support technology; fault diagnosis; fault prognostic technology; health evaluation; information fusion; intelligent reasoning; maintenance support expense reduction; prognostics and health management technology; sensor technology; Artificial intelligence; Cognition; Data mining; Maintenance engineering; Monitoring; Prognostics and health management; Reliability; armored equipment; maintenance support; prognostics and health management (PHM);
  • 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.2012.6246344
  • Filename
    6246344