• DocumentCode
    547430
  • Title

    Design of Mining Equipment Health Diagnostic System (4M system)

  • Author

    Xiaohan, Cheng ; Guoying, Meng ; Wei, Li ; Xiao, He

  • Author_Institution
    Sch. of Mech. Electron. & Inf. Eng., China Univ. of Min. & Technol., Beijing, China
  • Volume
    1
  • fYear
    2011
  • fDate
    10-12 June 2011
  • Firstpage
    273
  • Lastpage
    276
  • Abstract
    In order to improve the deficiency and passivity of periodical maintenance for mining equipments, a new mining equipment management mode-4M system is put forward in this paper. It is a quaternity management mode including daily maintenance information management, on-line monitoring, malfunction simulation and predictive maintenance. The overall function and operation process of 4M system is introduced in this paper.
  • Keywords
    condition monitoring; information management; maintenance engineering; mining equipment; production engineering computing; 4M mining equipment health diagnostic system; daily maintenance information management; design; equipment malfunction simulation; equipment online monitoring; mining equipment management mode; predictive maintenance; Databases; Mining equipment; Monitoring; Predictive maintenance; Predictive models; Real time systems; 4M system; health diagnostic; mining equipment management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Automation Engineering (CSAE), 2011 IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-8727-1
  • Type

    conf

  • DOI
    10.1109/CSAE.2011.5953220
  • Filename
    5953220