A sound and vibration fusion method for fault diagnosis of rolling bearings under speed-varying conditions

HIGHLIGHTS

• who: Haibo Wan et al. from the School of Mechanical and Automobile, Zhejiang University of Water Resources and Electric, Zhejiang University, Hangzhou, China have published the Article: A Sound and Vibration Fusion Method for Fault Diagnosis of Rolling Bearings under Speed-Varying Conditions, in the Journal: Sensors 2023, 23, x FOR PEER REVIEW standard deviation was higher accordingly, which meant that the performance of the model of /2023/
• what: In this paper and method named the multiscale convolutional neural network (F-MSCNN) was developed with strong adaptation performance under
• how: Proposed F-MSCNN . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.