A review of electrical signal-based train transmission machinery diagnosis technology

作     者：Jisheng Dai Rongjun Ding Zhaoyi Guan Shaolong Xu 

作者机构：College of Mechanical and Vehicle EngineeringHunan Universitychangsha410082China CRRC Zhuzhou Electric Locomotive Research Institute Co.zhuzhou412000China School of Traffic and Transportation EngineeringCentral South UniversityChangsha410075China 

出 版 物：《Transportation Safety and Environment》 (交通安全与环境（英文）)

年 卷 期：2021年第3卷第3期

页      面：179-195页

核心收录：

学科分类：0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 

主　　题：transmission machinery fault diagnosis bearing gear machine learning signal processing rail transportation 

摘      要：Transmission machinery is widely used in railway vehicles and is an important component in driving the operation of *** transmission components are prone to faults under long exposure to harsh environments and complex working *** affects normal operation and order,and thus it is important to ensure their safe and reliable *** signal-based diagnosis technology has advantages of easy signal acquisition,with no need to install additional sensors,nor embedded monitoring of the object *** has gradually become a research hotspot in the field of rail transportation *** paper describes the fault modes of transmission machinery,takes the electrical signal-based diagnosis method as the entry point,collates and compares the existing diagnosis methods and research results in this *** analyses their advantages and disadvantages,and finally puts forward problems for current and future research and development.