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Attention-Driven YOLOv8 with Feature Fusion for Intelligent Insulator Defect Detection in Power Transmission Lines | Synapse
March 3, 2026
基于注意力驱动与特征融合的YOLOv8智能电力输电线路绝缘子缺陷检测
RS
Raja Sekhar Sankuri
National Institute of Technology Andhra Pradesh
NS
Nagesh Bhattu Sristy
National Institute of Technology Andhra Pradesh
SK
Sri Phani Krishna Karri
National Institute of Technology Andhra Pradesh
Key Points
缺陷检测率的提升表明注意力机制整体上增强了性能。
系统在识别电力输电线路缺陷方面达到95%的准确率。
使用YOLO(You Only Look Once)算法的分析表明其在目标检测中特征融合效果显著。
该方法可能实现基础设施的实时监测,需在多样环境中进一步测试。
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Sankuri 等人(周三,)研究了这个问题。
synapsesocial.com/papers/69a75cdec6e9836116a261a4
https://doi.org/https://doi.org/10.1007/s42835-025-02579-7
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