Data amplification for bearing remaining useful life prediction based on generative adversarial network

HIGHLIGHTS

• who: Luyao Lei and collaborators from the School of Mechanical Engineering, Zhejiang University of Technology, Hangzhou, China have published the article: Data Amplification for Bearing Remaining Useful Life Prediction Based on Generative Adversarial Network, in the Journal: Wireless Communications and Mobile Computing of 21/07/2022
• what: To deal with the difficulty in bearing remaining useful life prediction caused by the lack of history data a data amplification method based on the generative adversarial network (GAN) is proposed in this paper and the parameters of generator and discriminator in the GAN are determined by grid . . .
  

   

  

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