A spatio-temporal attention mechanism based approach for remaining useful life prediction of turbofan engine

HIGHLIGHTS

• who: Cheng Peng and colleagues from the School of Computer Science, Hunan University of Technology, Zhuzhou, China have published the research work: A Spatio-Temporal Attention Mechanism Based Approach for Remaining Useful Life Prediction of Turbofan Engine, in the Journal: Computational Intelligence and Neuroscience of 14/Oct/2022
• what: The training set is used to adjust the parameters of the model during model training; the verification set is used to train the early stop model. To verify the stable prediction accuracy of the proposed method, this paper tests the proposed model on the test set . . .
  

   

  

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

  Thanks :)

  Username or E-mail:

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