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

doi:10.3901/JME.2023.20.225

Abstract

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

CLC Number:

YANG Shaopu, GU Xiaohui, LIU Yongqiang, DENG Feiyue, LIU Zechao, LIU Wenpeng, WANG Baosen. Review of Dynamic Mechanism and Fault Diagnosis for Key Rotating Components of Bogies[J]. Journal of Mechanical Engineering, 2023, 59(20): 225-243.

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