Login / Signup
A deformable CNN-DLSTM based transfer learning method for fault diagnosis of rolling bearing under multiple working conditions.
Zheng Wang
Qingxiu Liu
Hansi Chen
Xuening Chu
Published in:
Int. J. Prod. Res. (2021)
Keyphrases
</>
fault diagnosis
transfer learning
bp neural network
rbf neural network
monitoring and fault diagnosis
expert systems
prior knowledge
multi sensor information fusion
data sets
learning algorithm
knowledge base
feature extraction
training set
operating conditions