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I. La Paglia, E. Di Gialleonardo, A. Facchinetti, "Track continuous monitoring using vehicle dynamic measurements from the commercial fleet", 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 27.5, 2022, doi:10.4203/ccc.1.27.5

Keywords: condition-based maintenance, rail vehicle dynamics, track longitudinal level, in service vehicle.

Abstract

In this paper, a methodology for continuous monitoring of railway track geometry based on acceleration measurements from commercial trains is presented. A strict correlation between track longitudinal level and bogie vertical acceleration was identified making use of synthetic indicators. A linear regression model relating the standard deviation of the track geometry to the RMS of the bogie vertical acceleration was realized. The combined use of vehicle dynamic data and the proposed linear model allowed to accurately estimate the longitudinal level in a specific section of the rail line. The described results represent a first step towards the development of methodologies for track condition-based maintenance relying on measurements coming from the commercial fleet.

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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 27.5 Track continuous monitoring using vehicle dynamic measurements from the commercial fleet I. La Paglia, E. Di Gialleonardo and A. Facchinetti Department of Mechanical Engineering, Politecnico di Milano, Italy doi:10.4203/ccc.1.27.5 Full Bibliographic Reference for this paper I. La Paglia, E. Di Gialleonardo, A. Facchinetti, "Track continuous monitoring using vehicle dynamic measurements from the commercial fleet", 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 27.5, 2022, doi:10.4203/ccc.1.27.5 Keywords: condition-based maintenance, rail vehicle dynamics, track longitudinal level, in service vehicle. Abstract In this paper, a methodology for continuous monitoring of railway track geometry based on acceleration measurements from commercial trains is presented. A strict correlation between track longitudinal level and bogie vertical acceleration was identified making use of synthetic indicators. A linear regression model relating the standard deviation of the track geometry to the RMS of the bogie vertical acceleration was realized. The combined use of vehicle dynamic data and the proposed linear model allowed to accurately estimate the longitudinal level in a specific section of the rail line. The described results represent a first step towards the development of methodologies for track condition-based maintenance relying on measurements coming from the commercial fleet. download the full-text of this paper (PDF, 6 pages, 555 Kb) go to the previous paper go to the next paper return to the table of contents return to the volume description
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