Wheel-bearing fault diagnosis of trains using empirical wavelet transform

@inproceedings{Cao2016WheelbearingFD,
  title={Wheel-bearing fault diagnosis of trains using empirical wavelet transform},
  author={Hongrui Cao and Fei Fan and Kai Zhou and Zhengjia He},
  year={2016}
}
Abstract Rolling bearings are used widely as wheel bearing in trains. Fault detection of the wheel-bearing is of great significance to maintain the safety and comfort of train. Vibration signal analysis is the most popular technique that is used for rolling element bearing monitoring, however, the application of vibration signal analysis for wheel bearings is quite limited in practice. In this paper, a novel method called empirical wavelet transform (EWT) is used for the vibration signal… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-10 OF 43 CITATIONS