A 2dcnn-rf model for offshore wind turbine high-speed bearing-fault diagnosis under noisy environment

HIGHLIGHTS

• who: Shujie Yang and collaborators from the School of Marine Engineering Equipment, Zhejiang Ocean University, Zhoushan, China have published the research: A 2DCNN-RF Model for Offshore Wind Turbine High-Speed Bearing-Fault Diagnosis under Noisy Environment, in the Journal: Energies 2022, 15, x FOR PEER REVIEW of /2022/
• what: In view of this problem the authors propose fault-diagnosis strategy with good noise immunity in this paper by integrating the two-dimensional convolutional neural network (2DCNN) with random forest (RF) which is supposed to utilize both CNN`s automatic featureextraction capability and the robust . . .
  

   

  

  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.