• DocumentCode
    2699762
  • Title

    Research on fault tendency prediction of complex equipment based on multi-source information fusion

  • Author

    Hu, Wenhua ; Guo, Ming-Ming ; Shi, Lin

  • Author_Institution
    Dept. of Opt. & Electron. Eng., Mech. Eng. Coll., Shijiazhuang, China
  • fYear
    2012
  • fDate
    15-18 June 2012
  • Firstpage
    661
  • Lastpage
    664
  • Abstract
    Aiming at the problem that there is much information and it´s difficult to predict the fault trend for modern complex equipment, the equipment fault trend prediction model which is based on multi-source information fusion is put forward. Based on the analysis of mutual relationship of fusion information source and fusion strategy, the arithmetic of different information fusion and the method of fault trend prediction are researched. An example of the radar transmitter is given and analyzed. The method makes full use of the differences and complementary in performance of the various information sources and makes up for the defect of the single information. It can improve the reliability and precision of fault prediction, which can make the predicted result more scientific and accurate.
  • Keywords
    fault diagnosis; radar signal processing; radar transmitters; sensor fusion; fault tendency prediction; fusion strategy; modern complex equipment; multisource information fusion; radar transmitter; Circuit faults; Condition monitoring; Monitoring; Radar equipment; Reliability; Sensors; condition monitoring; evidence theory; fault predication; multi-Information fusion;
  • 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.2012.6246319
  • Filename
    6246319