Review on the Advancements in Wind Turbine Blade Inspection: Integrating Drone and Deep Learning Technologies for Enhanced Defect Detection

Review on the Advancements in Wind Turbine Blade Inspection: Integrating Drone and Deep Learning Technologies for Enhanced Defect Detection

The increasing demand for wind power requires more frequent inspections to identify defects in the Wind Turbine Blades (WTBs). These defects, if not detected, can compromise the structural integrity and safety of wind turbines. As WTBs are crucial and costly components, they may suffer material degr...

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Bibliographic Details
Main Authors: Majid Memari, Praveen Shakya, Mohammad Shekaramiz, Abdennour C. Seibi, Mohammad A. S. Masoum
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Wind turbine blades
defect detection
drones
anomaly detection
fault identification
feature extraction
Online Access:https://ieeexplore.ieee.org/document/10453577/

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