Design of Fault Diagnosis System for Electric Vehicle Motor Based on Virtual Instrument

Author(s):  
Zongping Yang ◽  
Yangyong Liu
2016 ◽  
Vol 693 ◽  
pp. 1436-1440
Author(s):  
Peng Wang ◽  
Pan Zhang ◽  
Lu Yang Jing ◽  
Zhe Liu

Fault diagnosis of train bearing is an important method to ensure the security of railway. In the paper, four time domain statistical analysis methods and resonance demodulation method as a frequency domain analysis method are introduced. A state inspection and fault diagnosis system of train axel box bearing is constructed and its efficiency is also tested by wheel set experiment.


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