A robust deep neural network for rolling element fault diagnosis under various operating and noisy conditions

HIGHLIGHTS

• who: Chun-Yao Lee et al. from the Department of Electrical Engineering, Chung Yuan Christian University, Taoyuan, Taiwan have published the article: A Robust Deep Neural Network for Rolling Element Fault Diagnosis under Various Operating and Noisy Conditions, in the Journal: Sensors 2022, 4705 of 22/06/2022
• what: This study proposes a new intelligent diagnostic method for bearing faults in rotating machinery. Ensuring classification efficiency in complex environments is the goal of this study. In this model, the vibration signal is obtained from the test rig. The main reason for this result is the . . .
  

   

  

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