Transfer learning based on improved stacked autoencoder for bearing fault diagnosis

Deep transfer learning algorithm is regarded as a promising method to address the issue of rolling bearing fault diagnosis with limited labeled data. Stacked autoencoder (SAE) has been widely employed in deep transfer learning research since it is a semi-supervised algorithm. However, there are stil...

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Bibliographic Details

Published in:	Knowledge-based systems Vol. 256; p. 109846
Main Authors:	Luo, Shuyang, Huang, Xufeng, Wang, Yanzhi, Luo, Rongmin, Zhou, Qi
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 28.11.2022
Subjects:	Convolutional shortcuts Domain fusion Fault diagnosis Stacked autoencoder Transfer learning Fault diagnosis Stacked autoencoder Convolutional shortcuts Transfer learning Domain fusion
ISSN:	0950-7051, 1872-7409
Online Access:	Get full text
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