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A transfer learning model for rolling bearing fault diagnosis based on angular marginal mapping and dynamic matching

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Structural Health Monitoring: An International Journal

Published online on

Abstract

Structural Health Monitoring, Ahead of Print.
Methods for bearing fault diagnosis based on transfer learning have shown notable success in enhancing feature adaptation across domains and improving model performance. However, existing methods still exhibit limitations in extracting highly ...