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R. Rozas¹, L. Bouillaut¹, P. Aknin¹ and G. Branger²

¹Université Paris-Est, IFSTTAR, GRETTIA, Cite Descartes Champs sur Marne, France
²Bombardier Transportation, Place des Ateliers, Crespin, France

doi:10.4203/ccp.104.172

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R. Rozas, L. Bouillaut, P. Aknin, G. Branger, "Optimal Maintenance Strategies with a Dynamic Optimization Approach", in J. Pombo, (Editor), "Proceedings of the Second International Conference on Railway Technology: Research, Development and Maintenance", Civil-Comp Press, Stirlingshire, UK, Paper 172, 2014. doi:10.4203/ccp.104.172

Keywords: maintenance optimisation, degradation drifts, dynamic maintenance strategy, rolling stock maintenance, doors systems.

Summary

The optimization of maintenance strategies has become a key issue in the railway industry but also in most industrial fields. To address this challenge, many studies dealt with the estimation of optimal maintenance parameters. But what commonly happens when the degradation process suddenly changes? The operator has to face an unexpected, increasing number of severe defects (and then a strong drop of its availability). These changes are generally due to either: a new component, introduced in the system for obsolescence reasons; or changing operating conditions. Based on the dynamic Bayesian networks (DBN), formalism that has been proved relevant to perform reliability analysis can easily represent complex system behaviors. This paper introduces a dynamic maintenance strategy, able to detect these drifts and to evaluate their impacts on the rolling stock doors system's behavior.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 104 PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON RAILWAY TECHNOLOGY: RESEARCH, DEVELOPMENT AND MAINTENANCE Edited by: J. Pombo Paper 172 Optimal Maintenance Strategies with a Dynamic Optimization Approach R. Rozas¹, L. Bouillaut¹, P. Aknin¹ and G. Branger² ¹Université Paris-Est, IFSTTAR, GRETTIA, Cite Descartes Champs sur Marne, France ²Bombardier Transportation, Place des Ateliers, Crespin, France doi:10.4203/ccp.104.172 purchase the full-text of this paper Full Bibliographic Reference for this paper R. Rozas, L. Bouillaut, P. Aknin, G. Branger, "Optimal Maintenance Strategies with a Dynamic Optimization Approach", in J. Pombo, (Editor), "Proceedings of the Second International Conference on Railway Technology: Research, Development and Maintenance", Civil-Comp Press, Stirlingshire, UK, Paper 172, 2014. doi:10.4203/ccp.104.172 Keywords: maintenance optimisation, degradation drifts, dynamic maintenance strategy, rolling stock maintenance, doors systems. Summary The optimization of maintenance strategies has become a key issue in the railway industry but also in most industrial fields. To address this challenge, many studies dealt with the estimation of optimal maintenance parameters. But what commonly happens when the degradation process suddenly changes? The operator has to face an unexpected, increasing number of severe defects (and then a strong drop of its availability). These changes are generally due to either: a new component, introduced in the system for obsolescence reasons; or changing operating conditions. Based on the dynamic Bayesian networks (DBN), formalism that has been proved relevant to perform reliability analysis can easily represent complex system behaviors. This paper introduces a dynamic maintenance strategy, able to detect these drifts and to evaluate their impacts on the rolling stock doors system's behavior. purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £65 +P&P)
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