A New Framework Based on Supervised Joint Distribution Adaptation for Bearing Fault Diagnosis across Diverse Working Conditions

A New Framework Based on Supervised Joint Distribution Adaptation for Bearing Fault Diagnosis across Diverse Working Conditions

To address the degradation of diagnostic performance due to data distribution differences and the scarcity of labeled fault data, this study has focused on transfer learning-based cross-domain fault diagnosis, which attracts considerable attention. However, deep transfer learning-based methods often...

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Bibliographic Details
Main Authors:	Chengyao Liu, Fei Dong
Format:	Article
Language:	English
Published:	Hindawi Limited 2024-01-01
Series:	Shock and Vibration
Online Access:	http://dx.doi.org/10.1155/2024/8296809

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