A new fault diagnosis of rolling bearing based on markov transition field and cnn

HIGHLIGHTS

• who: Mengjiao Wang and colleagues from the School of Automation and Electronic Information, Xiangtan University, Xiangtan, China have published the article: A New Fault Diagnosis of Rolling Bearing Based on Markov Transition Field and CNN, in the Journal: Entropy 2022, 24, 751. of 25/05/2022
• what: The aim of this approach is to avoid the special data partition, which leads to the deviation of classification results. In this paper, a method for diagnosing rolling bearing faults based on MTF-CNN is proposed.
• how: The vibration signals in the four cases are converted . . .
  

   

  

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