Prognostics and Health Management for an Overhead Contact Line System - A Review

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Published Nov 17, 2020
Mehdi Brahimi Kamal Medjaher Mohammed Leouatni Noureddine Zerhouni

Abstract

The railway industry in European countries is standing a significant competition from other modes of transportation, particularly in the field of freight transport. In this competitive context, railway stakeholders need to modernize their products and develop innovative solutions to manage their asset and reduce operational expenditures. As a result, activities such as condition-based and predictive maintenance became a major concern. Under those circumstances, there is a pressing need to implement prognostics and health management (PHM) solutions such as remote monitoring, fault diagnostics techniques, and prognostics technologies. Many studies in the PHM area for railway applications are focused on infrastructure systems such as railway track or turnouts. However, one of the key systems to ensure an efficient operability of the infrastructure is the overhead contact line (OCL). A defect or a failure of an OCL component may cause considerable delays, lead to important financial losses, or affect passengers safety. In addition maintaining this kind of geographically distributed systems
is costly and difficult to forecast. This article reviews the state of practice and the state of the art of PHM for overhead contact line system. Key sensors, monitoring parameters, state detection algorithms, diagnostics approaches and prognostics models are reviewed. Also, research challenges and technical needs are highlighted

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Keywords

Prognostics and Health Management (PHM), Railway Infrastructure, Overhead Contact Line, Pantograph-Catenary

References
Aizpurua, J. I., & Catterson, V. M. (2016, July). Adeps: a methodology for designing prognostic applications. In I. Eballard & A. Bregon (Eds.), Proceedings of the Third European Conference of the Prognostics and Health Management Society 2016 (pp. 86–100). Bilbao: PHM Society.
Alstom. (2016). Transport services for your rail system. Brochure. Retrieved 2017-09-03, from http://www.alstom.com/Global/Transport/Resources/Documents/brochure2014/Services%20-%20Brochure%20-%20English.pdf?epslanguage=en-GB
Alstom. (2017). Effective maintenance the right response to operators needs. Retrieved 2017-09-03, from http://www.alstom.com/products-services/product-catalogue/rail-systems/services/maintenance/
Arastounia, M., & Oude Elberink, S. (2016, December). Application of Template Matching for Improving Classification of Urban Railroad Point Clouds. Sensors, 16(12), 2112. doi: 10.3390/s16122112
Aydin, I., Celebi, S. B., Barmada, S., & Tucci, M. (2016, August). Fuzzy integral-based multi-sensor fusion for arc detection in the pantograph-catenary system. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit. doi: 10.1177/0954409716662090
Balestrino, A., Bruno, O., GIORGI, P., LANDI, A., PAPI, M., SANI, L., & Giuseppe, A. (2001). Electric welding effect: detection via phototube sensor and maintenance activities. In CDROM of the World Congress on Railway Research, Koln (pp. 19–23).
Barmada, S., Landi, A., Papi, M., & Sani, L. (2003). Wavelet multiresolution analysis for monitoring the occurrence of arcing on overhead electrified railways. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 217, 177–187.
Barmada, S., Tucci, M., Menci, M., & Romano, F. (2016, January). Clustering techniques applied to a high-speed train pantograph-catenary subsystem for electric arc detection and classification. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 230(1), 85–96. doi: 10.1177/0954409714528486
Barmada, S., Tucci, M., & Romano, F. (2014a). Arc Detection and Classification in Pantograph Catenary Systems by the use of Clustering Techniques. In Proceedings of the Second International Conference on Railway Technology: Research, Development and Maintenance, Ajaccio, France (pp. 1–12).
Barmada, S., Tucci, M., & Romano, F. (2014b). Hierarchical Clustering applied to Measured Data Relative to Pantograph-Catenary Systems as a Predictive Maintenance Tool. International Journal of Railway Technology, 3(4), 23–41. doi: 10.4203/ijrt.3.4.2
Boffi, P., Cattaneo, G., Amoriello, L., Barberis, A., Bucca, G., Bocciolone, M. F., . . . Martinelli, M. (2009, June). Optical fiber sensors to measure collector performance in the pantograph-catenary interaction. IEEE Sensors Journal, 9(6), 635–640. doi: 10.1109/JSEN.2009.2020244
Borromeo, S., & Aparicio, J. (2005). Application of computer vision systems to the inspection of contact wire wear. WIT Transactions on The Built Environment, 77.
Borromeo, S., & Aparicio, J. L. (2002). Automatic systems for wear measurement of contact wire in railways. In IECON 02 [Industrial Electronics Society, IEEE 2002 28th Annual Conference of the] (Vol. 4, pp. 2700–2705). IEEE.
Brahimi, M., Medjaher, K., Leouatni, M., & Zerhouni, N. (2016). Development of a prognostics and health management system for the railway infrastructure - Review and methodology. In Prognostics and System Health Management Conference (phm-chengdu), 2016 (pp. 1–8).
Brahimi, M., Medjaher, K., Zerhouni, N., & Leouatni, M. (2016). Critical components selection for a prognostics and health management system design: an application to an overhead contact system. In Annual conference of prognostics and health management society.
Bruno, O., Landi, A., Papi, M., & Sani, L. (2001). Phototube sensor for monitoring the quality of current collection on overhead electrified railways. In Proceedings of the institution of mechanical engineers, part f: Journal of rail and rapid transit (pp. 231–241).
Bruno, O., Landi, A., Papi, M., Sani, L., & Violi, A. G. (2001). Pantograph-catenary monitoring: correlation between breack arcs and harmonics in the traction currents. In CDROM of The World Conference Railway Research (Vol. 1).
Bucca, G., & Collina, A. (2009). A procedure for the wear prediction of collector strip and contact wire in pantographcatenary system. Wear, 266(1-2), 46–59.
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.
Camci, F. (2014). The travelling maintainer problem: integration of condition-based maintenance with the travelling salesman problem. Journal of the Operational Research Society, 65(9), 1423–1436.
Camci, F. (2015). Maintenance scheduling of geographically distributed assets with prognostics information. European Journal of Operational Research, 245(2), 506 - 516. doi: 10.1016/j.ejor.2015.03.023
CENELEC. (2012). En 50367 - railway applications - current collection systems - technical criteria for the interaction between pantograph and overhead line (Tech. Rep. No. EN 50367). rue de Stassart 35, B - 1050 Brussels: European Committee for Electrotechnical Standardization.
CENELEC. (2013). En 50317 - railway applications - current collection systems - requirements for and validation of measurements of the dynamic interaction between pantograph and overhead contact line (Tech. Rep. No. EN 50317). rue de Stassart 35, B - 1050 Brussels: European Committee for Electrotechnical Standardization.
Chantier, M., Coghill, G. M., Shen, Q., & Leitch, R. (1998). Selecting tools and techniques for model-based diagnosis. Artificial Intelligence in Engineering, 12(1), 81–98.
Cho, Y. H., Lee, K., Park, Y., Kang, B., & Kim, K.-n. (2010, November). Influence of contact wire pre-sag on the dynamics of pantograph-railway catenary. International Journal of Mechanical Sciences, 52(11), 1471–1490. doi: 10.1016/j.ijmecsci.2010.04.002
Collina, A., Fossati, F., Papi, M., & Resta, F. (2007, January). Impact of overhead line irregularity on current collection and diagnostics based on the measurement of pantograph dynamics. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 221(4), 547–559. doi: 10.1243/09544097F02105
EU, C. R. (2014). Technical specifications for interoperability relating to the energy subsystem of the rail system in the union. (Tech. Rep. No.1301/2014/EU). 120 Rue Marc Lefrancq, 59307 Valenciennes, France: European Union Agency for Railways.
EUROPAC. (2008). Publishable final activity report (Tech. Rep. No. 012440). rue de Stassart 35, B - 1050 Brussels: European Optimised Pantograph Catenary Interface.
Gasselin, B., Malve, L., Poligne, C., Goulain, L., Nicolini, J., & Millot, G. (2015, August 12). Dispositif de détection d’usure d’un fil de contact d’une caténaire. Google Patents. (EP Patent 2,759,441)
Gaus, N., & Kayser, H. J. (2016). Siemens digitalization strategy & sinalytics platform. Brochure. Retrieved 2017-09-03, from https://www.siemens.com/digitalisierung/public/pdf/Sinalytics-and-Digital-Services-Presentation.pdf
Gouriveau, R., Medjaher, K., & Zerhouni, N. (2016). From prognostics and health systems management to predictive maintenance 1: Monitoring and prognostics. John Wiley & Sons.
Hayasaka, T., Shimizu, M., & Nezu, K. (2009). Development of Contact-Loss Measuring System Using Ultraviolet Ray Detection. Quarterly Report of RTRI, 50(3), 131–136.
Huang, H.-H., & Chen, T.-H. (2008, June). Development of method for assessing the current collection performance of the overhead conductor rail systems used in electric railways. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 222, 159–168.
IEC. (2013). Iec 60913 - railway applications - fixed installations - electric traction overhead contact lines (Tech. Rep. No. 60913). Rue de Varemb 3, 1211 Geneva 20, Suisse: International Electrotechnical Commission.
Isermann, R. (1997). Supervision, fault-detection and fault-diagnosis methodsan introduction. Control engineering practice, 5(5), 639–652.
Jwa, Y., & Sonh, G. (2015). Kalman filter based railway tracking from mobile Lidar data. Proceedings of the ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, La Grande Motte, France, 28.
Kiessling, F., Puschmann, R., Schmieder, A., & Schneider, E. (Eds.). (2009). Contact lines for electric railways. planning, design, implementation, maintenance.
Kolbe, M., Baldauf, W., & Tiffe, G. (2001). Compact contact force measurement systemonline diagnosis of the overhead line system with regular trains. Proc. WCRR (Cologne).
Koyama, T., Ikeda, M., Kobayashi, S., Nakamura, K., Tabayashi, S., & Niwakawa, M. (2014). Measurement of the Contact Force of the Pantograph by Image Processing Technology. Quarterly Report of RTRI, 55(2), 73–78. doi: 10.2219/rtriqr.55.73
Kumar, S., Torres, M., Chan, Y., & Pecht, M. (2008). A hybrid prognostics methodology for electronic products. In Neural networks, 2008. ijcnn 2008.(ieee world congress on computational intelligence). ieee international joint conference on (pp. 3479–3485).
Kusumi, S., Fukutani, T., & Nezu, K. (2006a). Diagnosis of Overhead Contact Line based on Contact Force. Quarterly Report of RTRI, 47(1), 39–45.
Kusumi, S., Fukutani, T., & Nezu, K. (2006b). Diagnosis of Overhead Contact Line based on Contact Force. Quarterly Report of RTRI, 47(1), 39–45. doi: 10.2219/rtriqr.47.39
Laffont, G., Roussel, N., Rougeault, S., Boussoir, J., Maurin, L., & Ferdinand, P. (2009, October). Innovative FBG sensing techniques for the railway industry: application to overhead contact line monitoring;. In J. D. C. Jones (Ed.), (pp. 75035K–75035K–4). doi: 10.1117/12.835346
Lamoureux, B., Massé, J.-R., & Mechbal, N. (2015). Towards an integrated development of phm systems for aircraft engines: In-design selection and validation of health indicators. In Prognostics and health management (phm), 2015 ieee conference on (pp. 1–8).
Landi, A., Menconi, L., & Sani, L. (2006, January). Hough transform and thermo-vision for monitoring pantograph-catenary system. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 220(4), 435–447. doi: 10.1243/0954409JRRT41
Lee, J., Wu, F., Zhao, W., Ghaffari, M., Liao, L., & Siegel, D. (2014). Prognostics and health management design for rotary machinery systemsreviews, methodology and applications. Mechanical systems and signal processing, 42(1), 314–334.
Le Mortellec, A., Clarhaut, J., Sallez, Y., Berger, T., & Trentesaux, D. (2013). Embedded holonic fault diagnosis of complex transportation systems. Engineering Applications of Artificial Intelligence, 26(1), 227–240.
Letot, C., Soleimanmeigouni, I., Ahmadi, A., & Dehombreux, P. (2016). An adaptive opportunistic maintenance model based on railway track condition prediction. IFAC-PapersOnLine, 49(28), 120 - 125.
Lu, X., Shan, S., Tang, G., & Wen, Z. (2016). Survey on the railway telematic system for rolling stocks. In Proceedings of the 2015 international conference on electrical and information technologies for rail transportation: Transportation (pp. 645–656). Berlin, Heidelberg: Springer Berlin Heidelberg.
Massat, J. (2007). Modélisation du comportement dynamique du couple pantographe-caténaire (Unpublished doctoral dissertation). Ecole Centrale de Lyon.
Massé, J.-R., Hmad, O., & Boulet, X. (2012). System phm algorithm maturation. In Proceedings of european conference of prognostics and health management society 2012.
Montreuil, F., Kouadio, R., Petitjean, C., Heutte, L., & Delcourt, V. (2008). Automatic extraction of information for catenary scene analysis. In Signal Processing Conference, 2008 16th European (pp. 1–5). IEEE.
Mualem, C. (1999, August 3). Catenary system measurement apparatus and method. Google Patents. (US Patent 5,930,904)
Nezu, K., Matsumura, I., Aboshi, M., Niwakawa, M., Kawabata, T., & Tabayashi, S. (2015). Contactless Measuring Method of Overhead Contact Line Positions by Stereo Image Measurement and Laser Distance Measurement. Quarterly Report of RTRI, 56(3), 181–186. doi: 10.2219/rtriqr.56.181
Petitjean, C., Heutte, L., Delcourt, V., & Kouadio, R. (2009). Extraction automatique de pendules dans des images de catnaire. In XXIIe colloque GRETSI (traitement du signal et des images), Dijon (FRA), 8-11 septembre 2009. GRETSI, Groupe dEtudes du Traitement du Signal et des Images.
Railigent - digital services. (2017). Retrieved from https://www.siemens.com/global/en/home/products/mobility/rail-solutions/services/digital-services/railigent.html
Romano, F., Tucci, M., Raugi, M., & Barmada, S. (2014, June). Arc detection in pantograph-catenary systems by the use of support vector machines-based classification. IET Electrical Systems in Transportation(2), 45–52. doi: 10.1049/iet-est.2013.0003
Saxena, A., Roychoudhury, I., Celaya, J., Saha, S., Saha, B., & Goebel, K. (2010). Requirements specification for prognostics performance-an overview. In Aiaa infotech@ aerospace 2010 (p. 3398).
Shimada, T., Kohida, T., & Satoh, Y. (1997). Development of a solid laser measuring apparatus of contact wire wear. Railway Technical Research Institute, Quarterly Reports, 38(1).
Shing, A. W., & Pascoschi, G. (2006). Contact wire wear measurement and data management. In Railway Condition Monitoring, 2006. The Institution of Engineering and Technology International Conference on (pp. 182–187). IET.
Shing, W. C. (2011). A survey of contact wire wear parameters and the development of a model to predict wire wear by using the artifical neural network (Unpublished doctoral dissertation). City University of Hong Kong.
Theune, N., Bosselmann, T., Kaiser, J., Willsch, M., Hertsch, H., & Puschmann, R. (2010, March). Online temperature monitoring of overhead contact line at the new German high-speed rail line Cologne Rhine/Main. In WIT Transactions on State of the Art in Science and Engineering (1st ed., Vol. 1, pp. 87–94). WIT Press.
Torroja, Y., Garcia, S., Aparicio, J., & Martinez, P. (1993). An artificial vision system used for the measurement of the overhead wire in railway applications. In (pp. 1997–2002). IEEE. doi: 10.1109/IECON.1993.339381
Tuchband, B., Cheng, S., & Pecht, M. (2007). Technology assessment of sensor systems for prognostics and health monitoring. Proceedings of IMAPS on Military, Aerospace, Space and Homeland Security: Packaging Issues and Applications (MASH).
Uckun, S., Goebel, K., & Lucas, P. J. (2008). Standardizing research methods for prognostics. In International conference on prognostics and health management, 2008. phm 2008. (pp. 1–10).
UIC. (2007). UIC 791-1 - Maintenance guidelinees for overhead contact lines (Tech. Rep. No. UIC791-1). 16, rue Jean Rey 75015 Paris - France: International Union of Railways (UIC).
UIC. (2009). UIC 791-2 - Diagnosis of the OCL conditions (Tech. Rep. No. UIC 792-2). 16, rue Jean Rey 75015 Paris - France: International Union of Railways (UIC).
Usuda, T., Ikeda, M., & Yamashita, Y. (2011). Prediction of contact wire wear in high speed railways. In Proc. the ninth world congress on railway research (pp. 1–10).
Venkatasubramanian, V., Rengaswamy, R., Kavuri, S. N., & Yin, K. (2003). A review of process fault detection and diagnosis: Part iii: Process history based methods. Computers & chemical engineering, 27(3), 327–346.
Venkatasubramanian, V., Rengaswamy, R., Yin, K., & Kavuri, S. N. (2003). A review of process fault detection and diagnosis: Part i: Quantitative model-based methods. Computers & chemical engineering, 27(3), 293–311.
Wagner, R., Maicz, D., Viel, W., Saliger, F., Saliger, C., Horak, R., & Noack, T. (2014). A Fibre Optic Sensor Instrumented Pantograph As Part of a Continuous Structural Health Monitoring System for Railway Overhead Lines. In EWSHM-7th European Workshop on Structural Health Monitoring.
Wang, Y.-g., Sun, Z., Gu, S., & Wang, W. (2011). Real-time measurement for the angle of steady arm on high-speed railways. In Proc. the 10th world congress on railway research.
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