Skip to content
Descubridor Institucional UMAR
Inicio
Búsqueda avanzada
Explorar
Inicio
Búsqueda avanzada
Explorar
Login
Language
English
Deutsch
Español
Français
Italiano
All Fields
Title
Author
Subject
Call Number
ISBN/ISSN
Tag
Find
Advanced
GCB‐YOLO: A Lightweight Algorithm for Wind Turbine Blade Defect Detection
GCB‐YOLO: A Lightweight Algorithm for Wind Turbine Blade Defect Detection
Fuente:
Wiley Open Access
Saved in:
Bibliographic Details
Main Authors:
Zhiming Zhang
,
Chaoyi Dong
,
Ze Wei
,
Xiaoyan Chen
,
Weidong Zan
,
Yao Xue
Format:
Artículo Open Access
Published:
Wiley
2025
Subjects:
Wind Energy
Online Access:
Acceder al recurso
Tags:
Add Tag
No Tags, Be the first to tag this record!
Cite this
Text this
Email this
Print
Export Record
Export to RefWorks
Export to EndNoteWeb
Export to EndNote
Save to List
Permanent link
Holdings
Description
Comments
Similar Items
Staff View
Be the first to leave a comment!
Your Comment
You must be logged in first
Similar Items
AI‐Driven Deep Learning Framework for Detecting Subtle Surface Defects on Wind Turbine Blades
by: Shoutu Li, et al.
Published: (2026)
Maintenance of Wind Turbine Blades and Microplastic Emission: How to Mitigate Environmental Risks
by: Leon Mishnaevsky
Published: (2025)
Simulation Analysis and Safety Risk Assessment of a Wind Turbine Blade Failure Event
by: Jonathan Rogers, et al.
Published: (2025)
Failure Criterion‐Based Bead Optimization of a Wind Turbine Blade Root Section
by: Philipp Ulrich Haselbach, et al.
Published: (2026)
Dragonfly‐Inspired Aerodynamics in Horizontal Axis Wind Turbines: Insights Into Fore‐Blade and Hind‐Blade Interaction Through Experimental and CFD Studies
by: Amr Khedr, et al.
Published: (2025)
