• DocumentCode
    3313110
  • Title

    Study on Mine Equipment Systems Combined with a Reliability Assessment Model

  • Author

    Jingxia, Dai

  • Author_Institution
    China Univ. of Min. & Technol., Beijing
  • Volume
    2
  • fYear
    2009
  • fDate
    25-26 April 2009
  • Firstpage
    744
  • Lastpage
    747
  • Abstract
    This thesis discusses a methodology involving the merging of a reliability assessment model based on genetic algorithms with simulation. The purpose of the simulation study in this thesis is to assess the impact of equipment failures to mine production throughput. Two simulation models are developed using different simulation tools. The end results demonstrate a successful application of the methodology to study the impact of equipment failure on a mine pruduction. There is potential for future research involving methodology developed in this thesis. Logically,the next undertaking would be to incorporate failure patterns for all equipment. A second future direction is to incorporate other predictive models into the methodology and study and compare the results with the genetic algorithm model presented in this thesis.
  • Keywords
    discrete event simulation; failure analysis; genetic algorithms; mining equipment; mining industry; reliability; discrete event simulation; equipment failure pattern; genetic algorithm; mine equipment system; mine production throughput; mining industry; predictive model; reliability assessment model; Algorithm design and analysis; Discrete event simulation; Equipment failure; Exponential distribution; Failure analysis; Genetic algorithms; Maintenance; Mining equipment; Predictive models; Reliability theory; genetic algorithm; reliability; simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networks Security, Wireless Communications and Trusted Computing, 2009. NSWCTC '09. International Conference on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-1-4244-4223-2
  • Type

    conf

  • DOI
    10.1109/NSWCTC.2009.68
  • Filename
    4908576