• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2023, Vol. 59 ›› Issue (20): 225-243.doi: 10.3901/JME.2023.20.225

• 仪器科学与技术 • 上一篇    下一篇

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转向架关键运动部件动力学机理与故障诊断研究综述

杨绍普1, 顾晓辉1, 刘永强1,2, 邓飞跃1,2, 刘泽潮1, 刘文朋1, 王宝森1,2   

  1. 1. 石家庄铁道大学省部共建交通结构力学行为与系统安全国家重点实验室 石家庄 050043;
    2. 石家庄铁道大学机械工程学院 石家庄 050043
  • 收稿日期:2023-06-29 修回日期:2023-09-20 出版日期:2023-10-20 发布日期:2023-12-08
  • 通讯作者: 刘永强(通信作者),男,1983年出生,博士,教授,博士研究生导师。主要研究方向为车辆动力学与故障诊断。E-mail:liuyq@stdu.edu.cn
  • 作者简介:杨绍普,男,1962年出生,博士,教授,博士研究生导师。主要研究方向为非线性动力学与控制、旋转机械故障诊断。E-mail:yangsp@stdu.edu.cn
  • 基金资助:
    国家自然科学基金(12032017, 12272243, 12172235, 12002221)、国铁集团科技研究开发计划(N2021J032)和河北省高等学校科学技术研究(BJ2021039)资助项目。

Review of Dynamic Mechanism and Fault Diagnosis for Key Rotating Components of Bogies

YANG Shaopu1, GU Xiaohui1, LIU Yongqiang1,2, DENG Feiyue1,2, LIU Zechao1, LIU Wenpeng1, WANG Baosen1,2   

  1. 1. State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures, Shijiazhuang Tiedao University, Shijiazhuang 050043;
    2. School of Mechanical Engineering, Shijiazhuang Tiedao University, Shijiazhuang 050043
  • Received:2023-06-29 Revised:2023-09-20 Online:2023-10-20 Published:2023-12-08

摘要: 转向架是机车车辆的关键子系统之一,对保证列车的运行性能和服役安全具有重要的作用。随着列车运行速度的提高,轮轨之间的动态相互作用加剧,导致轮对、轴箱轴承、齿轮传动系统、牵引电机等转向架关键运动部件的运行工况十分恶劣,故障时有发生,危及行车安全。针对转向架关键运动部件的动力学行为和故障诊断,国内外学者开展了大量的研究工作。首先,从动力学模型、故障机理分析两个方面总结了转向架关键运动部件的研究现状。其次,梳理了转向架关键运动部件故障诊断中常用的信号处理和机器学习方法。最后,面向智能运维的工程需求,对当前研究存在的问题和发展趋势进行了总结和展望。

关键词: 机车车辆, 转向架, 动力学模型, 故障诊断, 智能运维

Abstract: Bogie is one of the most key systems of the railway locomotives and vehicles, which plays an important role in ensuring the service performance and safety of trains. With the increase of speed, the dynamic interaction between the wheel and rail will be intensified. The harsh operating conditions of the bogie often result failures in such key rotating components as wheels, axlebox bearings, gear transmission systems and traction motors. In order to ensure the train’s safety, the research on dynamic and fault diagnosis of key rotating components in bogies has received widespread attention. Firstly, the current researches on dynamic model and fault mechanism analysis are summarized. Then, the commonly used signal processing and machine learning methods for fault diagnosis are reviewed. Finally, the existing problems and prospects facing the future application scenarios for intelligent operation and maintenance are given.

Key words: locomotive and vehicle, bogie, dynamic model, fault diagnosis, intelligent operation and maintenance

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