Adaptive wind turbine blade surface defect detection based on deep learning and transfer learning
Structural Health Monitoring: An International Journal
Published online on August 11, 2025
Abstract
Structural Health Monitoring, Ahead of Print.
Addressing the issues of low efficiency and insufficient accuracy in traditional methods, a novel adaptive automatic detection framework for wind turbine blade surface defects is proposed, which combines a deep learning model with a transfer learning ...
Addressing the issues of low efficiency and insufficient accuracy in traditional methods, a novel adaptive automatic detection framework for wind turbine blade surface defects is proposed, which combines a deep learning model with a transfer learning ...