Computational Technology Resources - CCC

M.V. Lopes, P.G. Ramos and A. Antunes Dos Santos

School of Mechanical Engineering, State University of Campinas, Brazil

doi:10.4203/ccc.7.7.7

M.V. Lopes, P.G. Ramos, A. Antunes Dos Santos, "A Compact Non-Linear Energy Harvester to an Indirect Wagon Safety 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 7.7, 2024, doi:10.4203/ccc.7.7.7

Keywords: energy harvester, autonomous sensor, safety, vibration, heavy-haul train, piezoelectric.

Abstract

This article addresses safety concerns in heavy-haul trains, focusing on the evaluation of derailment propensity without the need for instrumented wheelsets. Based on an innovative approach, which utilises strategically positioned sensors along freight wagons to indirectly measure derailment propensity, thus circumventing the complexities and costs associated with instrumented wheelsets. However, implementing these sensor systems poses challenges, particularly regarding power autonomy. The article emphasizes the potential of vibrational energy harvesting, specifically the OSo-mag structure, as a sustainable power source for these sensors.

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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 7.7 A Compact Non-Linear Energy Harvester to an Indirect Wagon Safety Monitoring M.V. Lopes, P.G. Ramos and A. Antunes Dos Santos School of Mechanical Engineering, State University of Campinas, Brazil doi:10.4203/ccc.7.7.7 Full Bibliographic Reference for this paper M.V. Lopes, P.G. Ramos, A. Antunes Dos Santos, "A Compact Non-Linear Energy Harvester to an Indirect Wagon Safety 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 7.7, 2024, doi:10.4203/ccc.7.7.7 Keywords: energy harvester, autonomous sensor, safety, vibration, heavy-haul train, piezoelectric. Abstract This article addresses safety concerns in heavy-haul trains, focusing on the evaluation of derailment propensity without the need for instrumented wheelsets. Based on an innovative approach, which utilises strategically positioned sensors along freight wagons to indirectly measure derailment propensity, thus circumventing the complexities and costs associated with instrumented wheelsets. However, implementing these sensor systems poses challenges, particularly regarding power autonomy. The article emphasizes the potential of vibrational energy harvesting, specifically the OSo-mag structure, as a sustainable power source for these sensors. download the full-text of this paper (PDF, 12 pages, 968 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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