Constructing a reliable health indicator for bearings using convolutional autoencoder and continuous wavelet transform

HIGHLIGHTS

  • who: Mohammadreza Kaji and collaborators from the Department of Mechanical Engineering, Isfahan University of Technology, Isfahan, Iran have published the paper: Constructing a Reliable Health Indicator for Bearings Using Convolutional Autoencoder and Continuous Wavelet Transform, in the Journal: (JOURNAL)
  • what: In this study a new data-driven method based on the (CAE) is presented to construct the HI. This study proposes a method to construct a HI on the basis of an unsupervised deep learning method that describes every instant condition of the bearing and can be regarded as an indicator for a digital twin . . .

     

    Logo ScioWire Beta black

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

    Thanks :)

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

     

Scroll to Top

Add A Knowledge Base Question !

+ = Verify Human or Spambot ?