Bearing fault diagnosis based on an enhanced image representation method of vibration signal and conditional super token transformer

HIGHLIGHTS

• who: Jiaying Li and colleagues from the National and Local Joint Engineering Research Center of Metrology Instrument and System, Hebei University, Baoding, China have published the research work: Bearing Fault Diagnosis Based on an Enhanced Image Representation Method of Vibration Signal and Conditional Super Token Transformer, in the Journal: Entropy 2022, 1055 of 28/07/2022
• what: To accurately determine the fault period, this work proposes the multipoint envelope L-kurtosis (MELkurt).
• how: Considering that L-kurtosis has good robustness with noise this paper proposes a multipoint envelope L-kurtosis (MELkurt) method for . . .
  

   

  

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