Please use this identifier to cite or link to this item: 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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