GCB‐YOLO: A Lightweight Algorithm for Wind Turbine Blade Defect Detection
ABSTRACT For the current visual detection methods of wind turbine blade defects, their detection models are usually excessively large, making it difficult to achieve a balance between model accuracy and inference speed. To address this problem, this paper introduces a lightweight wind turbine blade...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-06-01
|
| Series: | Wind Energy |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/we.70029 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|