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T. Xia¹, J. Ding^2,1, J. Zuo^1,3 and Y. Pan¹

¹Institute of Rail Transit, Tongji University, Shanghai, China
²Postdoctoral Station of Mechanical Engineering, Tongji University, Shanghai, China
³Shanghai Key Laboratory of Rail Infrastructure Durability and System Safety, Tongji University, Shanghai, China

doi:10.4203/ccc.7.4.14

T. Xia, J. Ding, J. Zuo, Y. Pan, "Continuous Fault Injection for Pantographs of High-Speed Trains Based on AMESim and Python", 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 4.14, 2024, doi:10.4203/ccc.7.4.14

Keywords: digital twin, fault injection, fault diagnosis, high-speed train, pantograph, near real-time simulation.

Abstract

As the high-speed rail technology rapidly evolves, the demands for equipment safety and reliability have become more stringent. This study introduces a novel continuous fault injection methodology that integrates AMESim simulations with Python scripting, exemplified through an analysis of the pantograph model. This approach provides an innovative technical means for continuous fault injection within high-speed rail systems by automating and perpetuating fault simulations. The paper meticulously details the mechanisms of fault injection implementation and substantiates the method's efficacy and precision through case studies involving a basic model and the pneumatic system of a high-speed rail pantograph. The experimental outcomes indicate that the continuous fault injection technique sustains the simulation's continuity and guarantees the fidelity of the simulation outcomes. Additionally, this research delves into the integration of fault injection within digital twin platforms and highlights pertinent considerations for practical deployment.

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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 4.14 Continuous Fault Injection for Pantographs of High-Speed Trains Based on AMESim and Python T. Xia¹, J. Ding^2,1, J. Zuo^1,3 and Y. Pan¹ ¹Institute of Rail Transit, Tongji University, Shanghai, China ²Postdoctoral Station of Mechanical Engineering, Tongji University, Shanghai, China ³Shanghai Key Laboratory of Rail Infrastructure Durability and System Safety, Tongji University, Shanghai, China doi:10.4203/ccc.7.4.14 Full Bibliographic Reference for this paper T. Xia, J. Ding, J. Zuo, Y. Pan, "Continuous Fault Injection for Pantographs of High-Speed Trains Based on AMESim and Python", 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 4.14, 2024, doi:10.4203/ccc.7.4.14 Keywords: digital twin, fault injection, fault diagnosis, high-speed train, pantograph, near real-time simulation. Abstract As the high-speed rail technology rapidly evolves, the demands for equipment safety and reliability have become more stringent. This study introduces a novel continuous fault injection methodology that integrates AMESim simulations with Python scripting, exemplified through an analysis of the pantograph model. This approach provides an innovative technical means for continuous fault injection within high-speed rail systems by automating and perpetuating fault simulations. The paper meticulously details the mechanisms of fault injection implementation and substantiates the method's efficacy and precision through case studies involving a basic model and the pneumatic system of a high-speed rail pantograph. The experimental outcomes indicate that the continuous fault injection technique sustains the simulation's continuity and guarantees the fidelity of the simulation outcomes. Additionally, this research delves into the integration of fault injection within digital twin platforms and highlights pertinent considerations for practical deployment. download the full-text of this paper (PDF, 9 pages, 1136 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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