Semi-Supervised Adversarial Transfer Networks for Cross-Domain Intelligent Fault Diagnosis of Rolling Bearings

Semi-Supervised Adversarial Transfer Networks for Cross-Domain Intelligent Fault Diagnosis of Rolling Bearings

In recent advances, deep learning-based methods have been broadly applied in fault diagnosis, while most existing studies assume that source domain and target domain data follow the same distribution. As differences in operating conditions lead to the deterioration of diagnosis performance, domain a...

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Bibliographic Details
Main Authors: Baisong Pan, Wuyan Wang, Juan Wen, Yifan Li
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Applied Sciences
Subjects:
intelligent fault diagnosis
domain adaptation
semi-supervised learning
adversarial transfer network
rolling bearings
Online Access:https://www.mdpi.com/2076-3417/13/4/2626

Internet

https://www.mdpi.com/2076-3417/13/4/2626

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