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Research and application of diagnosis methods and devices for urban rail traction systems
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Kan Liu, Zherui Zhang, Liran Li, Leiting Zhao, Yijie Zhou
Railway Sciences | 2026, 5(1) : 88 - 99
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Railway Sciences | 2026, 5(1): 88-99
Research article
Research and application of diagnosis methods and devices for urban rail traction systems
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Kan Liu, Zherui Zhang, Liran Li, Leiting Zhao, Yijie Zhou
Affiliations
  • China Academy of Railway Sciences Corporation Limited, Locomotive and Car Research Institute, Beijing, China
  • Department of AC Transmission Development, China Academy of Railway Sciences Corporation Limited, Beijing, China
Published: 2026-02-10 doi: 10.1108/RS-10-2025-0048
Outline
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Purpose

With the deepening integration of rail transit systems–encompassing urban rail, regional railways, trunk lines and medium-low capacity transportation–the four-network integration imposes higher demands on operation and maintenance systems regarding cross-modal coordination, full-element interconnectivity and dynamic responsiveness.

Design/methodology/approach

This paper, based on policy directives and engineering practices, analyzes the operational maintenance characteristics of urban rail traction systems from perspectives including device interconnectivity and fault data mining. A non-intrusive high-frequency diagnostic device independent of vehicle control is proposed, informed by practical onboard operation experience. This innovation significantly enhances diagnostic accuracy for components requiring high sampling frequency, while integrating “Flash” storage with far greater capacity than conventional control chips.

Findings

This article will systematically introduces the key points and diagnostic methods for typical faults in urban rail traction systems. Through rational diagnostic algorithms combined with high-precision, high-storage diagnostic instrumentation, the overall safety and reliability of urban rail traction systems have been improved. The proposed non-intrusive high-frequency diagnostic solution has been validated across multiple rail lines.

Originality/value

This paper introduces an innovative non-intrusive diagnostic device with a dual-channel design for multi-system compatibility and a high-speed acquisition architecture enabling 400 kHz sampling. Its originality stems from the independent, high-fidelity capture of microsecond-level transient faults like IGBT shoot-through and pantograph arcing; Validated in operational environments, this approach provides a significant leap in diagnostic precision, directly enhancing traction system availability and operational safety by enabling precise fault localization and intelligent, adaptive protection strategies.

VVVF converters  /  High-frequency data acquisition  /  Edge storage  /  Fault pattern mining
Kan Liu, Zherui Zhang, Liran Li, Leiting Zhao, Yijie Zhou. Research and application of diagnosis methods and devices for urban rail traction systems[J]. Railway Sciences, 2026 , 5 (1) : 88 -99 . DOI: 10.1108/RS-10-2025-0048
  • Fund of China Academy of Railway Sciences Corporation Limited(2023YJ342)
Year 2026 volume 5 Issue 1
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Article Info
doi: 10.1108/RS-10-2025-0048
  • Receive Date:2025-10-16
  • Online Date:2026-07-29
  • Published:2026-02-10
Article Data
Affiliations
History
  • Received:2025-10-16
  • Revised:2025-10-24
  • Accepted:2025-10-24
Funding
Fund of China Academy of Railway Sciences Corporation Limited(2023YJ342)
Affiliations
    China Academy of Railway Sciences Corporation Limited, Locomotive and Car Research Institute, Beijing, China
    Department of AC Transmission Development, China Academy of Railway Sciences Corporation Limited, Beijing, China

Corresponding:

Liran Li can be contacted at:
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表12种不同金属材料的力学参数

Family
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Number of
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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