Computational Technology Resources - CCC

Keywords: condition-based maintenance, rail vehicle dynamics, railway infrastructure, onboard measurement.

Abstract

The increased demand for rail transportation requires continuous monitoring of both railway lines and vehicle dynamics for different reasons, ranging from system safety and reliability to effective management of maintenance interventions. The target of the article is that of proposing innovative methodologies for data processing and analysis of experimental signals collected onboard, during long-term monitoring of in-service vehicles. The proposed methodologies are suitable for various rail transportation systems, ranging from metro to main line. At first, a positioning algorithm is proposed to associate all the measured acceleration signals to the corresponding track sections where they were acquired. It consists in a map-matching procedure to project the GPS positions, stored by the train during commercial service, onto the digital map of the railway line. Once completed, synthetic indexes representative of vehicle dynamics performances, such as RMS acceleration values, can be computed and matched to their exact position along the track, allowing to investigate vehicle dynamics evolution both in time and with respect to the position along the railway line. Two different data analysis approaches are proposed: the first one concentrates on the evolution of indexes and investigates how the train running dynamics changes with time, as a consequence of wheel/rail profile wear and track irregularity degradation; the second analysis relates the vehicle dynamics to local phenomena along the line and to the evolution of track maintenance conditions. One of the main outcomes of the proposed methodology is the possibility of continuously monitoring track quality and of identifying critical sections along the line that may potentially need to be inspected, to decide whether dedicated maintenance actions are necessary.

download the full-text of this paper (PDF, 7 pages, 367 Kb)

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

	Computational & Technology Resources an online resource for computational, engineering & technology publications
	not logged in - login
Front Page Browse CCC CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Conferences ISSN 2753-3239 CCC: 1 PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON RAILWAY TECHNOLOGY: RESEARCH, DEVELOPMENT AND MAINTENANCE Edited by: J. Pombo Paper 27.4 Continuous monitoring of rail vehicle dynamics by means of acceleration measurements I. La Paglia¹, R. Corradi¹ and M. Carnevale² ¹Department of Mechanical Engineering, Politecnico di Milano, Italy ²Dipartimento di Ingegneria Industriale e dell'Informazione, Università degli Studi di Pavia, Italy doi:10.4203/ccc.1.27.4 Full Bibliographic Reference for this paper I. La Paglia, R. Corradi, M. Carnevale, "Continuous monitoring of rail vehicle dynamics by means of acceleration measurements", in J. Pombo, (Editor), "Proceedings of the Fifth International Conference on Railway Technology: Research, Development and Maintenance", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 1, Paper 27.4, 2022, doi:10.4203/ccc.1.27.4 Keywords: condition-based maintenance, rail vehicle dynamics, railway infrastructure, onboard measurement. Abstract The increased demand for rail transportation requires continuous monitoring of both railway lines and vehicle dynamics for different reasons, ranging from system safety and reliability to effective management of maintenance interventions. The target of the article is that of proposing innovative methodologies for data processing and analysis of experimental signals collected onboard, during long-term monitoring of in-service vehicles. The proposed methodologies are suitable for various rail transportation systems, ranging from metro to main line. At first, a positioning algorithm is proposed to associate all the measured acceleration signals to the corresponding track sections where they were acquired. It consists in a map-matching procedure to project the GPS positions, stored by the train during commercial service, onto the digital map of the railway line. Once completed, synthetic indexes representative of vehicle dynamics performances, such as RMS acceleration values, can be computed and matched to their exact position along the track, allowing to investigate vehicle dynamics evolution both in time and with respect to the position along the railway line. Two different data analysis approaches are proposed: the first one concentrates on the evolution of indexes and investigates how the train running dynamics changes with time, as a consequence of wheel/rail profile wear and track irregularity degradation; the second analysis relates the vehicle dynamics to local phenomena along the line and to the evolution of track maintenance conditions. One of the main outcomes of the proposed methodology is the possibility of continuously monitoring track quality and of identifying critical sections along the line that may potentially need to be inspected, to decide whether dedicated maintenance actions are necessary. download the full-text of this paper (PDF, 7 pages, 367 Kb) go to the previous paper go to the next paper return to the table of contents return to the volume description
Back to top	©Civil-Comp Limited 2023 - terms & conditions