SOD‐YOLO: A Small Target Defect Detection Algorithm for Wind Turbine Blades Based on Improved YOLOv5-Reference-Cited by-同舟云学术

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SOD‐YOLO: A Small Target Defect Detection Algorithm for Wind Turbine Blades Based on Improved YOLOv5

Published:2022-04-26 Issue:7 Volume:5 Page:2100631
ISSN:2513-0390
Container-title:Advanced Theory and Simulations
language:en
Short-container-title:Advcd Theory and Sims

Author:

Zhang Rui¹^ORCID,Wen Chuanbo¹

Affiliation:

1. Department of Electrical Engineering Shanghai Dianji University Shanghai 201306 P. R. China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shanghai

Publisher

Wiley

Subject

Multidisciplinary,Modeling and Simulation,Numerical Analysis,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/adts.202100631

Reference33 articles.

1. Improving security for wind energy systems in smart grid applications using digital protection technique

2. A review of wind energy technologies

3. Wind turbine fault detection and classification by means of image texture analysis

Cited by 50 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Recognition of dispersed organic matter macerals using YOLOv5m model with convolutional block attention module;Fuel;2024-12

2. Enhanced defect detection on wind turbine blades using binary segmentation masks and YOLO;Computers and Electrical Engineering;2024-12

3. Unmanned Aerial Vehicle (UAV)-Assisted Damage Detection of Wind Turbine Blades: A Review;Energies;2024-07-29

4. Incorporating long-tail data in complex backgrounds for visual surface defect detection in PCBs;Complex & Intelligent Systems;2024-07-24

5. YOLO- WTDL: A Lightweight Wind Turbine Blades Defect Detection Model Based on YOLOv8;2024 7th Asia Conference on Energy and Electrical Engineering (ACEEE);2024-07-20

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