A meta-transfer learning with natural language supervised pretraining for few-shot fault diagnosis of bearings
Structural Health Monitoring: An International Journal
Published online on August 11, 2025
Abstract
Structural Health Monitoring, Ahead of Print.
The intelligent deep learning algorithms have achieved a great success in bearing fault diagnosis. However, most of them rely on data-driven optimization or prior experience without considering physical fault characteristics. Moreover, it requires a large ...
The intelligent deep learning algorithms have achieved a great success in bearing fault diagnosis. However, most of them rely on data-driven optimization or prior experience without considering physical fault characteristics. Moreover, it requires a large ...