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International Journal of Production Research Volume 59, 2021 - Issue 16
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Machine Learning in Manufacturing and Industry 4.0 applications

A deformable CNN-DLSTM based transfer learning method for fault diagnosis of rolling bearing under multiple working conditions

Zheng WangSchool of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, People’s Republic of ChinaView further author information
,
Qingxiu LiuSchool of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, People’s Republic of ChinaView further author information
,
Hansi ChenSchool of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, People’s Republic of ChinaView further author information
&
Xuening ChuSchool of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, People’s Republic of ChinaCorrespondence[email protected]
View further author information
Pages 4811-4825 | Received 13 Jan 2020, Accepted 30 Jul 2020, Published online: 25 Aug 2020

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