Computational Technology Resources - CCC

M. Tan¹, L. Nie¹, F. Gu² and W. Zuolu²

¹Hubei Key Laboratory of Modern Manufacturing Quality Engineering, School of Mechanical Engineering, Hubei University of Technology, China
²School of Computing and Engineering?University of Huddersfield, United Kingdom

doi:10.4203/ccc.1.4.19

M. Tan, L. Nie, F. Gu, W. Zuolu, "Condition-based monitoring and defect diagnosis of catenary system based on pantograph vibration", 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 4.19, 2022, doi:10.4203/ccc.1.4.19

Keywords: impact detection, catenary, real-time monitoring, defect diagnosis.

Abstract

The condition monitoring and defect diagnosis are wildly used to improve catenary performance and reduce maintenance costs. This paper proposed a novel diagnosis system. This system monitors and inspects catenary based on strain signals which are measured on pantograph. It greatly simplifies the detection setup and can detect the operation conditions in real-time. Significantly different from traditional ones, this system uses strain as index, which can not only describe interaction status, but also offer catenary location feature. An application experiment is carried out in a commercial metro line and the results verified the reliability and effectiveness of this diagnosis system.

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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 4.19 Condition-based monitoring and defect diagnosis of catenary system based on pantograph vibration M. Tan¹, L. Nie¹, F. Gu² and W. Zuolu² ¹Hubei Key Laboratory of Modern Manufacturing Quality Engineering, School of Mechanical Engineering, Hubei University of Technology, China ²School of Computing and Engineering?University of Huddersfield, United Kingdom doi:10.4203/ccc.1.4.19 Full Bibliographic Reference for this paper M. Tan, L. Nie, F. Gu, W. Zuolu, "Condition-based monitoring and defect diagnosis of catenary system based on pantograph vibration", 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 4.19, 2022, doi:10.4203/ccc.1.4.19 Keywords: impact detection, catenary, real-time monitoring, defect diagnosis. Abstract The condition monitoring and defect diagnosis are wildly used to improve catenary performance and reduce maintenance costs. This paper proposed a novel diagnosis system. This system monitors and inspects catenary based on strain signals which are measured on pantograph. It greatly simplifies the detection setup and can detect the operation conditions in real-time. Significantly different from traditional ones, this system uses strain as index, which can not only describe interaction status, but also offer catenary location feature. An application experiment is carried out in a commercial metro line and the results verified the reliability and effectiveness of this diagnosis system. download the full-text of this paper (PDF, 5 pages, 439 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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