A universal source-free domain adaptation transfer learning for cross-domain fault diagnosis of rotating machinery
Journal of Vibration and Control
Published online on May 09, 2026
Abstract
Journal of Vibration and Control, Ahead of Print.
Existing cross-domain fault diagnostic algorithms often presume prior knowledge of the target domain’s failure patterns and train models on labeled data from the source domain. However, in practical engineering, new domains may include new failure modes, ...
Existing cross-domain fault diagnostic algorithms often presume prior knowledge of the target domain’s failure patterns and train models on labeled data from the source domain. However, in practical engineering, new domains may include new failure modes, ...