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I. La Paglia, M. Santelia, S. Alfi, E. Di Gialleonardo, A. Facchinetti, "An Application of the Unknown Input Observer Algorithm for the Identification of Vertical Railway Track Irregularity", 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 19.5, 2024, doi:10.4203/ccc.7.19.5

Keywords: railway infrastructure, track condition, model-based solution, rail vehicle dynamic simulation, condition-based maintenance, predictive maintenance.

Abstract

In this paper, a model-based solution for the identification of the railway track irregularity from simulation data is presented. The proposed methodology relies on the application of the Unknown Input Observer algorithm. A Simpack railway vehicle model is adopted to simulate the acceleration levels that vehicle-mounted sensors (for instance on the bogies and carbody) would measure during operation. A vehicle running at constant speed on a straight track is considered, considering different type of track irregularity (longitudinal level, cross-level) to test the algorithm capability to identify the input irregularity. In the analysed cases, satisfactory results are achieved both in terms of signal histories and corresponding frequency content, proving the methodology suitable for the identification of the track irregularity for monitoring purposes, adopting an instrumented vehicle.

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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: 7 PROCEEDINGS OF THE SIXTH INTERNATIONAL CONFERENCE ON RAILWAY TECHNOLOGY: RESEARCH, DEVELOPMENT AND MAINTENANCE Edited by: J. Pombo Paper 19.5 An Application of the Unknown Input Observer Algorithm for the Identification of Vertical Railway Track Irregularity I. La Paglia, M. Santelia, S. Alfi, E. Di Gialleonardo and A. Facchinetti Department of Mechanical Engineering, Politecnico di Milano, Italy doi:10.4203/ccc.7.19.5 Full Bibliographic Reference for this paper I. La Paglia, M. Santelia, S. Alfi, E. Di Gialleonardo, A. Facchinetti, "An Application of the Unknown Input Observer Algorithm for the Identification of Vertical Railway Track Irregularity", 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 19.5, 2024, doi:10.4203/ccc.7.19.5 Keywords: railway infrastructure, track condition, model-based solution, rail vehicle dynamic simulation, condition-based maintenance, predictive maintenance. Abstract In this paper, a model-based solution for the identification of the railway track irregularity from simulation data is presented. The proposed methodology relies on the application of the Unknown Input Observer algorithm. A Simpack railway vehicle model is adopted to simulate the acceleration levels that vehicle-mounted sensors (for instance on the bogies and carbody) would measure during operation. A vehicle running at constant speed on a straight track is considered, considering different type of track irregularity (longitudinal level, cross-level) to test the algorithm capability to identify the input irregularity. In the analysed cases, satisfactory results are achieved both in terms of signal histories and corresponding frequency content, proving the methodology suitable for the identification of the track irregularity for monitoring purposes, adopting an instrumented vehicle. download the full-text of this paper (PDF, 9 pages, 800 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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