A new de-noising method based on enhanced time-frequency manifold and kurtosis-wavelet dictionary for rolling bearing fault vibration signal

HIGHLIGHTS

• who: Qingbin Tong and colleagues from the School of Electrical Engineering, Beijing Jiaotong University, Beijing, China have published the paper: A New De-Noising Method Based on Enhanced Time-Frequency Manifold and Kurtosis-Wavelet Dictionary for Rolling Bearing Fault Vibration Signal, in the Journal: Sensors 2022, 6108 of /2022/
• what: To reduce the distortion degree of reconstructed phase space, improve the noise suppression effect of time-frequency manifold learning, and highlight the feature extraction ability of sparse representation, the authors propose a new de-noising method based on ETFM and kurtosis-wavelet dictionary for rolling . . .
  

   

  

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