Online monitoring and safety assessment of heavy-haul distributed power trains: Technical strategies and application practices in China

With the significant increase in tractive tonnage of heavy-haul railway transportation, the deterioration of the dynamic performance of long-marshaled heavy-haul trains during long-term operation has become increasingly prominent. Therefore, the online monitoring and performance evaluation of the operation status and running safety of heavy-haul distributed power (DP) trains under service complex environments become particularly important. This paper systematically reports the online monitoring technologies and safety assessment strategy of heavy-haul DP trains in China. A multi-layered integrated monitoring system for heavy-haul DP trains is developed, which encompasses multi-dimensional parameter monitoring including longitudinal train dynamics, vibration characteristics of locomotives and wagons, wheel-rail contact status, and train pneumatic brake performance. Leveraging distributed sensor networks and 5G dual-mode communication technology, the system achieves multi-sectional data acquisition and rapid synchronous transmission across ultra-long train formations. The engineering application practices on the Shuozhou-Huanghua Railway demonstrates that this technical framework can significantly enhance proactive safety protection capabilities for long heavy-haul trains, providing replicable solutions for efficient operation and maintenance under complicated working conditions. Future studies should focus on optimizing measurement point layouts, dynamic threshold configurations, and cross-system data fusion mechanisms to promote sustainable development of safer heavy-haul railways.

Authors

Institutions

Publication Details

Journal
Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit
Published
2025-10-21
DOI
https://doi.org/10.1177/09544097251389250
Primary Topic
Railway Systems and Energy Efficiency
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Online monitoring and safety assessment of heavy-haul distributed power trains: Technical strategies and application practices in China

Wanming Zhai, Ertian Zhang, Liang Ling, Peibin Jiang et al.
Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit
Railway Systems and Energy Efficiency
article

Online monitoring and safety assessment of heavy-haul distributed power trains: Technical strategies and application practices in China

Wanming Zhai, Ertian Zhang, Liang Ling, Peibin Jiang, Jianhua Wang, Zhao Tang
article en

Abstract

With the significant increase in tractive tonnage of heavy-haul railway transportation, the deterioration of the dynamic performance of long-marshaled heavy-haul trains during long-term operation has become increasingly prominent. Therefore, the online monitoring and performance evaluation of the operation status and running safety of heavy-haul distributed power (DP) trains under service complex environments become particularly important. This paper systematically reports the online monitoring technologies and safety assessment strategy of heavy-haul DP trains in China. A multi-layered integrated monitoring system for heavy-haul DP trains is developed, which encompasses multi-dimensional parameter monitoring including longitudinal train dynamics, vibration characteristics of locomotives and wagons, wheel-rail contact status, and train pneumatic brake performance. Leveraging distributed sensor networks and 5G dual-mode communication technology, the system achieves multi-sectional data acquisition and rapid synchronous transmission across ultra-long train formations. The engineering application practices on the Shuozhou-Huanghua Railway demonstrates that this technical framework can significantly enhance proactive safety protection capabilities for long heavy-haul trains, providing replicable solutions for efficient operation and maintenance under complicated working conditions. Future studies should focus on optimizing measurement point layouts, dynamic threshold configurations, and cross-system data fusion mechanisms to promote sustainable development of safer heavy-haul railways.

Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit
China Railway Corporation (CN), Southwest Jiaotong University (CN)
Openalex Percentile: Top 57%
Railway Systems and Energy Efficiency
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.