Thermal and RGB Images Work Better Together in Wind Turbine Damage Detection

Wind Turbine Thermal Imaging RGB Image Fusion Damage Detection Deep Learning

Abstract

This research demonstrates that combining thermal and RGB imagery significantly improves wind turbine damage detection accuracy. The proposed fusion approach outperforms single-modality methods, enabling more reliable identification of cracks, erosion, and thermal anomalies in wind turbine blades.

Citation

Serhii Svystun, Oleksandr Melnychenko, Pavlo Radiuk, Oleg Savenko, Anatoliy Sachenko, Andrii Lysyi. "Thermal and RGB Images Work Better Together in Wind Turbine Damage Detection". International Journal of Computing, Vol. 23, No. 4, pp. 526-535, 2024.