Dual-Attention Multi-Path Deep Learning Framework for Automated Wind Turbine Blade Fault Detection Using UAV Imagery

Computer Modeling in Engineering & Sciences 2026 Open access

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Authors: Mubarak A. Alanazi, Junaid Rashid
DOI: 10.32604/cmes.2026.077956
Cited by: 1

Abstract

Wind turbine blade defect detection faces persistent challenges in separating small, low-contrast surface faults from complex backgrounds while maintaining reliability under variable illumination and viewpoints. Conventional ... | Find, read and cite all the research you need on Tech Science Press

Fields of Study & Subjects

Machine Fault Diagnosis Techniques Wind Energy Research and Development Structural Health Monitoring Techniques

Publication details

Journal / source
Computer Modeling in Engineering & Sciences
Publisher
Tech Science Press
Volume
146
Issue
2
Pages
1–10
Publication date
1 January 2026
Language
EN