A deep transfer learning method based on stacked autoencoder for cross-domain fault diagnosis

作者：

Highlights：

• A cross-domain fault diagnosis method based on transferred stacked autoencoder is proposed.

• Some typical transfer strategies are discussed for better understanding.

• Extensive experiments verified the effectiveness and superiority of the proposed method.

摘要

•A cross-domain fault diagnosis method based on transferred stacked autoencoder is proposed.•Some typical transfer strategies are discussed for better understanding.•Extensive experiments verified the effectiveness and superiority of the proposed method.

论文关键词：Deep learning,Transfer learning,Fault diagnosis,Domain adaptation

论文评审过程：Received 16 January 2021, Revised 20 April 2021, Accepted 25 April 2021, Available online 19 May 2021, Version of Record 19 May 2021.

论文官网地址：https://doi.org/10.1016/j.amc.2021.126318