Rolling bearing fault monitoring for sparse time-frequency representation and feature detection strategy

HIGHLIGHTS

• who: Jiahui Tang and collaborators from the School of Mechanical and Precision Instrument Engineering, Xi`an University of Technology, Xi`an, China have published the Article: Rolling Bearing Fault Monitoring for Sparse Time-Frequency Representation and Feature Detection Strategy, in the Journal: Entropy 2022, 24, 1822. of /2022/
• what: The main contributions of this paper are as follows: A time-frequency analysis model of the bearing vibration signal is built by using the STFT and sparse constraints are introduced into this model, thereby improving the time-frequency resolution and time-frequency aggregation of the time . . .
  

   

  

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