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A.S. Bhadouria^1,2, J.A.P. Braga², R.P. Mishra¹ and A.R. Andrade²

¹Mechanical Engineering Department, Birla Institute of Technology and Science Pilani, Rajasthan, India
²IDMEC, Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal

doi:10.4203/ccc.7.7.14

A.S. Bhadouria, J.A.P. Braga, R.P. Mishra, A.R. Andrade, "Data-Driven Approach for Condition-Based Maintenance of Freight Train Wheelsets using Markov Decision Process", in J. Pombo, (Editor), "Proceedings of the Sixth International Conference on Railway Technology: Research, Development and Maintenance", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 7, Paper 7.14, 2024, doi:10.4203/ccc.7.7.14

Keywords: railways maintenance, Markov decision process, wheelsets, maintenance modelling, condition-based maintenance, cox proportional hazard model, damage.

Abstract

This article presents a data-driven model based on the Markov decision process approach applied to freight train wheelsets to provide a way to support a condition-based maintenance for freight wheelsets. This study analyses observed wear data of freight wheelsets and developed a Markov decision process model. A comparison between key operating variables is also analysed namely the mileage since last maintenance and the gross ton mileage since last maintenance to determine which parameter is more appropriate for developing a two-dimensional state space along with wheel tread diameter. A Markov transition matrices are estimated for various actions, and an optimal strategy is provided, with a decision map for the best actions depending on the current state of the wheelset.

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Front Page Browse CCC CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Conferences ISSN 2753-3239 CCC: 7 PROCEEDINGS OF THE SIXTH INTERNATIONAL CONFERENCE ON RAILWAY TECHNOLOGY: RESEARCH, DEVELOPMENT AND MAINTENANCE Edited by: J. Pombo Paper 7.14 Data-Driven Approach for Condition-Based Maintenance of Freight Train Wheelsets using Markov Decision Process A.S. Bhadouria^1,2, J.A.P. Braga², R.P. Mishra¹ and A.R. Andrade² ¹Mechanical Engineering Department, Birla Institute of Technology and Science Pilani, Rajasthan, India ²IDMEC, Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal doi:10.4203/ccc.7.7.14 Full Bibliographic Reference for this paper A.S. Bhadouria, J.A.P. Braga, R.P. Mishra, A.R. Andrade, "Data-Driven Approach for Condition-Based Maintenance of Freight Train Wheelsets using Markov Decision Process", in J. Pombo, (Editor), "Proceedings of the Sixth International Conference on Railway Technology: Research, Development and Maintenance", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 7, Paper 7.14, 2024, doi:10.4203/ccc.7.7.14 Keywords: railways maintenance, Markov decision process, wheelsets, maintenance modelling, condition-based maintenance, cox proportional hazard model, damage. Abstract This article presents a data-driven model based on the Markov decision process approach applied to freight train wheelsets to provide a way to support a condition-based maintenance for freight wheelsets. This study analyses observed wear data of freight wheelsets and developed a Markov decision process model. A comparison between key operating variables is also analysed namely the mileage since last maintenance and the gross ton mileage since last maintenance to determine which parameter is more appropriate for developing a two-dimensional state space along with wheel tread diameter. A Markov transition matrices are estimated for various actions, and an optimal strategy is provided, with a decision map for the best actions depending on the current state of the wheelset. download the full-text of this paper (PDF, 15 pages, 1102 Kb) go to the previous paper go to the next paper return to the table of contents return to the volume description
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