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S. Gregori, M. Tur, A. Correcher, J. Gil Romero, C. Ricolfe-Viala, A.M. Pedrosa and F.J. Fuenmayor

Institute of Mechanical Engineering and Biomechanics, Universitat Politecnica de Valencia, Spain

doi:10.4203/ccc.7.4.4

S. Gregori, M. Tur, A. Correcher, J. Gil Romero, C. Ricolfe-Viala, A.M. Pedrosa, F.J. Fuenmayor, "Pantograph-Catenary Contact Force Estimation from Linear Camera Images", 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 4.4, 2024, doi:10.4203/ccc.7.4.4

Keywords: catenary, pantograph, artificial neural networks, condition monitoring, linear camera, contact force.

Abstract

Traditional contact force measurement methods are expensive and impractical for regular train operation. This study proposes estimating pantograph-catenary contact force using linear camera images of collector head vertical movement and artificial intelligence tools such as artificial neural networks. The whole procedure is based on experimental measurements performed on a pantograph test bench. From the linear camera images taken of the contact strip, two methods were proposed to obtain the collector head acceleration. Then, in the second step, the contact force is estimated. The results obtained show an overall excellent accuracy when compared to the measured magnitudes on the test bench with a root mean square error of 4.8 N. To obtain this accurate contact force prediction is preferable to take longer acceleration intervals before the prediction time step.

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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 4.4 Pantograph-Catenary Contact Force Estimation from Linear Camera Images S. Gregori, M. Tur, A. Correcher, J. Gil Romero, C. Ricolfe-Viala, A.M. Pedrosa and F.J. Fuenmayor Institute of Mechanical Engineering and Biomechanics, Universitat Politecnica de Valencia, Spain doi:10.4203/ccc.7.4.4 Full Bibliographic Reference for this paper S. Gregori, M. Tur, A. Correcher, J. Gil Romero, C. Ricolfe-Viala, A.M. Pedrosa, F.J. Fuenmayor, "Pantograph-Catenary Contact Force Estimation from Linear Camera Images", 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 4.4, 2024, doi:10.4203/ccc.7.4.4 Keywords: catenary, pantograph, artificial neural networks, condition monitoring, linear camera, contact force. Abstract Traditional contact force measurement methods are expensive and impractical for regular train operation. This study proposes estimating pantograph-catenary contact force using linear camera images of collector head vertical movement and artificial intelligence tools such as artificial neural networks. The whole procedure is based on experimental measurements performed on a pantograph test bench. From the linear camera images taken of the contact strip, two methods were proposed to obtain the collector head acceleration. Then, in the second step, the contact force is estimated. The results obtained show an overall excellent accuracy when compared to the measured magnitudes on the test bench with a root mean square error of 4.8 N. To obtain this accurate contact force prediction is preferable to take longer acceleration intervals before the prediction time step. download the full-text of this paper (PDF, 10 pages, 921 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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