A transfer learning framework for cross-domain fault diagnosis of rotating machinery with imbalanced data
Structural Health Monitoring: An International Journal
Published online on May 19, 2026
Abstract
Structural Health Monitoring, Ahead of Print.
This article addresses the issues of sparse target-domain samples, class imbalance, and cross-domain distribution shifts in cross-condition fault diagnosis. It proposes a transfer learning framework that combines target-domain fault sample augmentation ...
This article addresses the issues of sparse target-domain samples, class imbalance, and cross-domain distribution shifts in cross-condition fault diagnosis. It proposes a transfer learning framework that combines target-domain fault sample augmentation ...