Autonomous damage recognition in visual inspection of laminated composite structures using deep learning
(2021)
Journal Article
This study proposes the exploitation of deep learning for quantitative assessment of visual detectability of different types of in-service damage in laminated composite structures such as aircraft and wind turbine blades. A comprehensive image-based... Read More about Autonomous damage recognition in visual inspection of laminated composite structures using deep learning.