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
Link To Document :
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