Deep transfer learning rolling bearing fault diagnosis method based on convolutional neural network feature fusion
D Yu, H Fu, Y Song, W Xie, Z Xie - Measurement Science and …, 2023 - iopscience.iop.org
Current deep-learning methods are often based on significantly large quantities of labeled
fault data for supervised training. In practice, it is difficult to obtain samples of rolling bearing …
fault data for supervised training. In practice, it is difficult to obtain samples of rolling bearing …
Deep transfer learning rolling bearing fault diagnosis method based on convolutional neural network feature fusion
D Yu, H Fu, Y Song, W Xie… - … Science and Technology, 2024 - ui.adsabs.harvard.edu
Current deep-learning methods are often based on significantly large quantities of labeled
fault data for supervised training. In practice, it is difficult to obtain samples of rolling bearing …
fault data for supervised training. In practice, it is difficult to obtain samples of rolling bearing …