Computational & Technology Resources
an online resource for computational,
engineering & technology publications
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 7.16

Design of a Modular and Integrated On-Board System for Freight Train Condition Monitoring

F. Zanelli1, A. Galimberti1, N. Debattisti1, M. Mauri1, D. Tarsitano1, C. Osorio Mendoza2, S. Negri1 and G. Tomasini1

1Department of Mechanical Engineering, Politecnico di Milano, Italy
2Direzione Tecnica, MERCITALIA INTERMODAL SpA, Italy

Full Bibliographic Reference for this paper
F. Zanelli, A. Galimberti, N. Debattisti, M. Mauri, D. Tarsitano, C. Osorio Mendoza, S. Negri, G. Tomasini, "Design of a Modular and Integrated On-Board System for Freight Train Condition Monitoring", 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 7.16, 2024, doi:10.4203/ccc.7.7.16
Keywords: condition monitoring, on-board monitoring system, freight train, energy harvesting, braking system, predictive maintenance.

Abstract
Condition monitoring is becoming an essential tool in the railway industry, allowing to increase the efficiency in vehicles maintenance interventions. This is particularly critical in the case of freight trains, since the majority of wagons is still non sensorized. The research work aims at developing a monitoring system with two main purposes: to be applicable to different wagon typologies and to be an integrated solution for the monitoring of the different mechanical subsystems of the vehicle. The focus is put on the energy harvesting to suitably power supply the wireless sensor nodes and on the identification of the possible malfunctioning of the braking plant. The design of the monitoring system has been driven by an empirical model of the braking plant realized also to support the analysis of experimental data collected by the monitoring devices in the diagnostic stage.

download the full-text of this paper (PDF, 14 pages, 1164 Kb)

go to the previous paper
go to the next paper
return to the table of contents
return to the volume description