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https://dspace.iiti.ac.in/handle/123456789/6855
Title: | Condition based optimal maintenance strategy for multi-component system |
Authors: | Lad, Bhupesh Kumar |
Keywords: | Decision making;Genetic algorithms;Intelligent systems;Monte Carlo methods;Plant shutdowns;Condition based maintenance;Group maintenance;Maintenance decision making;Multi-component systems;Optimal maintenance;Processing industry;Remaining useful lives;Simulation-based optimizations;Maintenance |
Issue Date: | 2014 |
Publisher: | IEEE Computer Society |
Citation: | Rawat, M., & Lad, B. K. (2014). Condition based optimal maintenance strategy for multi-component system. Paper presented at the IEEE International Conference on Industrial Engineering and Engineering Management, 1437-1441. doi:10.1109/IEEM.2013.6962648 |
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. © 2013 IEEE. |
URI: | https://doi.org/10.1109/IEEM.2013.6962648 https://dspace.iiti.ac.in/handle/123456789/6855 |
ISBN: | 9781479909865 |
ISSN: | 2157-3611 |
Type of Material: | Conference Paper |
Appears in Collections: | Department of Mechanical Engineering |
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