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A review of electrical signal-based train transmission machinery diagnosis technology
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作者 Jisheng Dai Rongjun Ding +1 位作者 zhaoyi guan Shaolong Xu 《Transportation Safety and Environment》 EI 2021年第3期179-195,共17页
Transmission machinery is widely used in railway vehicles and is an important component in driving the operation of trains.Such transmission components are prone to faults under long exposure to harsh environments and... Transmission machinery is widely used in railway vehicles and is an important component in driving the operation of trains.Such transmission components are prone to faults under long exposure to harsh environments and complex working conditions.This affects normal operation and order,and thus it is important to ensure their safe and reliable operation.Electrical signal-based diagnosis technology has advantages of easy signal acquisition,with no need to install additional sensors,nor embedded monitoring of the object components.It has gradually become a research hotspot in the field of rail transportation diagnosis.This 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 field.It analyses their advantages and disadvantages,and finally puts forward problems for current and future research and development. 展开更多
关键词 transmission machinery fault diagnosis BEARING GEAR machine learning signal processing rail transportation
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