Data Fusion and Ensemble Learning for Advanced Anomaly Detection Using Multi-Spectral RGB and Thermal Imaging of Small Wind Turbine Blades

This paper introduces an innovative approach to Wind Turbine Blade (WTB) inspection through the synergistic use of thermal and RGB imaging, coupled with advanced deep learning techniques. We curated a unique dataset of 1000 thermal images of healthy and faulty blades using a FLIR C5 Compact Thermal...

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Autores principales:	Majid Memari, Mohammad Shekaramiz, Mohammad A. S. Masoum, Abdennour C. Seibi
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2024-01-01
Colección:	Energies
Materias:	deep learning RGB imaging thermal imaging data fusion wind turbine blades fault detection
Acceso en línea:	https://www.mdpi.com/1996-1073/17/3/673
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