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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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Principais autores: Majid Memari, Mohammad Shekaramiz, Mohammad A. S. Masoum, Abdennour C. Seibi
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2024-01-01
Serier:Energies
Fag:
deep learning
RGB imaging
thermal imaging
data fusion
wind turbine blades
fault detection
Online adgang:https://www.mdpi.com/1996-1073/17/3/673
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