Semi-Supervised Surface Anomaly Detection of Composite Wind Turbine Blades From Drone Imagery

no code implementations • 1 Dec 2021 • Jack. W. Barker, Neelanjan Bhowmik, Toby. P. Breckon

Within commercial wind energy generation, the monitoring and predictive maintenance of wind turbine blades in-situ is a crucial task, for which remote monitoring via aerial survey from an Unmanned Aerial Vehicle (UAV) is commonplace.

Anomaly Detection Fault Detection