Identification and Localization of Wind Turbine Blade Faults Using Deep Learning

This study addresses the challenges inherent in the maintenance and inspection of wind turbines through the application of deep learning methodologies for fault detection on Wind Turbine Blades (WTBs). Specifically, this research focuses on defect detection on the blades of small-scale WTBs due to t...

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Detalhes bibliográficos

Principais autores:	Mason Davis, Edwin Nazario Dejesus, Mohammad Shekaramiz, Joshua Zander, Majid Memari
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2024-07-01
coleção:	Applied Sciences
Assuntos:	YOLO Mask R-CNN fault detection wind turbine blades inspection deep learning
Acesso em linha:	https://www.mdpi.com/2076-3417/14/14/6319
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