Critical Components Selection for a Prognostics and Health Management System Design: an Application to an Overhead Contact System

##plugins.themes.bootstrap3.article.main##

##plugins.themes.bootstrap3.article.sidebar##

Mehdi Brahimi Kamal Medjaher Mohammed Leouatni Noureddine Zerhouni

Abstract

In recent years, improving quality of rail services by increasing availability, saving energy, and cutting the costs of infrastructure and rolling stock maintenance has become a central concern in the railway industry. Furthermore, considerable research efforts have been devoted to develop
monitoring and health management solutions for the rail transportation systems. Streaming data from trains, infrastructure and signaling systems became a key subject for an implementation of a predictive maintenance. Prognostics and Health Management (PHM) is an approach that aims to support a predictive maintenance program. Basically, the first step to develop a PHM system is to identify critical components. This paper emphasizes on the critical components selection step. It presents a methodology to identify the critical components for the design of a PHM solution. The proposed methodology is based on objectives definition for PHM and it is applied to an Overhead Contact System (OCS).

How to Cite

Brahimi, M., Medjaher, K., Leouatni, M., & Zerhouni, N. (2016). Critical Components Selection for a Prognostics and Health Management System Design: an Application to an Overhead Contact System. Annual Conference of the PHM Society, 8(1). https://doi.org/10.36001/phmconf.2016.v8i1.2522
Abstract 33 | PDF Downloads 24

##plugins.themes.bootstrap3.article.details##

Keywords

PHM

References
Avizienis, A., Laprie, J.-C., Randell, B., & Landwehr, C. (2004). Basic concepts and taxonomy of dependable and secure computing. IEEE Transactions on
Dependable and Secure Computing, 1(1), 11–33.
Bucca, G., & Collina, A. (2015). Electromechanical interaction between carbon-based pantograph strip and copper contact wire: A heuristic wear model. Tribology International, 92, 47–56. http://doi.org/10.1016/j.triboint.2015.05.019
ISO/IEC (2003). Dependability management – Part 3-1: – Application Guide – Analysis techniques for dependability – Guide on methodology (ISO/IEC
60300-3-1:2003).
Jardine, A. K. S., Lin, D., & Banjevic, D. (2006). A review on machinery diagnostics and prognostics implementing condition-based maintenance.
Mechanical Systems and Signal Processing, 20(7), 1483–1510. http://doi.org/10.1016/j.ymssp.2005.09.012
Lu, X., Shan, S., Tang, G., & Wen, Z. (2016). Survey on the Railway Telematic System for Rolling Stocks. In Y. Qin, L. Jia, J. Feng, M. An, & L. Diao (Eds.),
Proceedings of the 2015 International Conference on Electrical and Information Technologies for Rail Transportation (Vol. 378, pp. 645–656). Berlin,
Heidelberg: Springer Berlin Heidelberg. Retrieved from http://link.springer.com/10.1007/978-3-662-49370-0_67
Massat, J. (2007). Modélisation du comportement dynamique du couple pantographe-caténaire. Application à La Détection de Défauts Dans La
Caténaire [Simulation of Pantograph-Catenary Dynamic interaction–Application to Catenary Defect Detection]. Ecole Centrale de Lyon [doctoral Thesis].
Mathew, S., Das, D., Rossenberger, R., & Pecht, M. (2008). Failure mechanisms based prognostics. In Prognostics and Health Management, 2008. PHM 2008. International Conference on (pp. 1–6). IEEE.
Mosallam, A., Medjaher, K., & Zerhouni, N. (2015). Component based data-driven prognostics for complex systems: Methodology and applications. In Reliability Systems Engineering (ICRSE), 2015 First International Conference on (pp. 1–7). IEEE. Retrieved from http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7366504
SNCF Open Data. (n.d.). Retrieved August 26, 2016, from https://data.sncf.com/
Tixier, J., Dusserre, G., Salvi, O., & Gaston, D. (2002). Review of 62 risk analysis methodologies of industrial plants. Journal of Loss Prevention in the process industries, 15(4), 291-303.
Uckun, S., Goebel, K., & Lucas, P. J. (2008). Standardizing research methods for prognostics. In Prognostics and Health Management, 2008. PHM 2008. International Conference on (pp. 1–10). IEEE.
UIC, UIC 791-1: Maintenance guidelines for overhead contact lines, 1st edition of 2006. ISBN 2-7461-1093-8
Wang, L., & Nee, A. Y. C. (Eds.). (2009). Collaborative Design and Planning for Digital Manufacturing. London: Springer London. Retrieved from http://link.springer.com/10.1007/978-1-84882-287-0
Section
Technical Papers

Most read articles by the same author(s)