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高速列车转向架轴承的故障检测研究进展

杨宏利 孙爱民 宋庆丰 夏子豪 侯航东 马立勇

机电工程技术2026,Vol.55Issue(7):8-15,8.
机电工程技术2026,Vol.55Issue(7):8-15,8.DOI:10.3969/j.issn.1009-9492.2026.07.002

高速列车转向架轴承的故障检测研究进展

Research Progress in the Field of Fault Detection for Bogie Bearings in High-speed Trains

杨宏利 1孙爱民 1宋庆丰 1夏子豪 1侯航东 1马立勇2

作者信息

  • 1. 河北建筑工程学院 机械工程学院,河北 张家口 075000
  • 2. 河北建筑工程学院 机械工程学院,河北 张家口 075000||北京航空航天大学 机械工程及自动化学院,北京 100191
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摘要

Abstract

Flexible movements of the various components in the running gear of trains are enabled by bearings.Sufficient support and stability are ensured,and safe and smooth operation of trains is guaranteed simultaneously.Fault detection is regarded as a major research topic for high-speed train bogie bearings in recent years.However,with the emergence of various new technologies,comprehensive analysis and summary of the developed methods are not available.The structural composition of train bogies is introduced,and the potential fault types of the bearings are clarified.Research progress in fault detection methods for high-speed train bogie bearings is highlighted.The bearing fault detection methods are discussed in three categories:physics-based model methods,data-driven methods,and hybrid model-based methods.The advantages and disadvantages of the three methods are compared.Finally,the current challenges and future problems encountered in train bearing fault detection are analyzed.

关键词

转向架/高速列车/故障诊断/轴承/机器学习

Key words

bogie/high-speed trains/fault detection/bearings/machine learning

分类

机械制造

引用本文复制引用

杨宏利,孙爱民,宋庆丰,夏子豪,侯航东,马立勇..高速列车转向架轴承的故障检测研究进展[J].机电工程技术,2026,55(7):8-15,8.

基金项目

河北建筑工程学院2024年研究生创新基金项目(XY2024080) (XY2024080)

河北省研究生创新能力培养资助项目(CXZZSS2025127) (CXZZSS2025127)

河北省张家口市科学技术研究与发展计划项目(2311005A) (2311005A)

新工科视域下的智能制造工程学科深度建设实践研究(2403199) (2403199)

机电工程技术

1009-9492

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