A deformable CNN-DLSTM based transfer learning method for fault diagnosis of rolling bearing under multiple working conditions
Author:
Affiliation:
1. School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, People’s Republic of China
Funder
National Natural Science Foundation of China
Publisher
Informa UK Limited
Subject
Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management
Link
https://www.tandfonline.com/doi/pdf/10.1080/00207543.2020.1808261
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