• DocumentCode
    694256
  • Title

    Condition based optimal maintenance strategy for multi-component system

  • Author

    Rawat, Meenakshi ; Lad, Bhupesh Kumar

  • Author_Institution
    Discipline of Mech. Eng., Indian Inst. of Technol. Indore, Indore, India
  • fYear
    2013
  • fDate
    10-13 Dec. 2013
  • Firstpage
    1437
  • Lastpage
    1441
  • Abstract
    This paper proposes a condition based group maintenance policy for multi-component system. Condition of the components is defined in terms of Remaining Useful Life (RUL). Predicted RULs are always associated with some uncertainty. The RULs and associated uncertainty then affect the maintenance decision making. This work aims at obtaining optimal maintenance grouping of components at current planned shutdown and optimal time for next planned shutdown. A simulation based optimization approach is used to solve the problem. The problem is of high importance to industries which operate continuously, like power plants, processing industries, etc.
  • Keywords
    decision making; genetic algorithms; maintenance engineering; remaining life assessment; RUL; condition based group maintenance policy; condition based optimal maintenance strategy; maintenance decision making; multicomponent system; optimal maintenance grouping; remaining useful life; simulation based optimization approach; Genetic algorithms; Maintenance engineering; Monitoring; Monte Carlo methods; Optimization; Prognostics and health management; Uncertainty; Group maintenance; Monte Carlo simulation; condition based maintenance; genetic algorithm; multi-component system; remaining useful life;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IEEM), 2013 IEEE International Conference on
  • Conference_Location
    Bangkok
  • Type

    conf

  • DOI
    10.1109/IEEM.2013.6962648
  • Filename
    6962648