Shannon wavelet spectrum analysis on truncated vibration signals for machine incipient fault detection

@article{Liu2012ShannonWS,
  title={Shannon wavelet spectrum analysis on truncated vibration signals for machine incipient fault detection},
  author={Jie Liu},
  journal={Measurement Science and Technology},
  year={2012},
  volume={23}
}
  • Jie Liu
  • Published 1 May 2012
  • Engineering
  • Measurement Science and Technology
Although a variety of methods have been proposed in the literature for machine fault detection, it still remains a challenge to extract prominent features from random and nonstationary vibratory signals, a typical representative of which are the resonance signatures generated by incipient defects on the rolling elements of ball bearings. Due to its random and nonstationary nature, the involved signal generally possesses a low signal-to-noise ratio, where the classical signal processing methods… 

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