使用轻量级改进型 YOLOv8 评估绝缘子放电严重程度的边缘算法

IF 1.6 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Journal of Electrical Engineering & Technology Pub Date : 2024-09-05 DOI:10.1007/s42835-024-02021-4
Yang Yang, SanPing Geng, Chi Cheng, Xuan Yang, PeiYao Wu, Xu Han, HangYuan Zhang
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引用次数: 0

摘要

绝缘子对输电线路至关重要,而绝缘子放电相关问题是造成输电线路故障的主要原因之一。因此,我们需要一种能快速准确评估绝缘体放电严重程度并能在边缘提供实时监控的算法。本文通过对 YOLOv8 物体检测算法进行轻量级改进来解决这些问题。首先,通过引入 Mosaic-9 数据增强方法来增强输入端,从而提高算法的鲁棒性和通用性。其次,用 GhostNet 网络替换了主干网络,实现了模型轻量化。用 GELU 代替 RELU 激活函数,以提高收敛速度和检测精度。最后,引入 SIoU 损失函数对网络进行优化,形成轻量级改进 YOLOv8 算法,用于评估边缘绝缘子放电的严重程度。实验验证表明,该算法在边缘设备上实现了 87.6% 的平均精度(mAP)和每秒 58 帧的推理速度,满足了评估边缘绝缘体放电严重程度的要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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An Edge Algorithm for Assessing the Severity of Insulator Discharges Using a Lightweight Improved YOLOv8

Insulators are crucial for power transmission lines, and issues related to discharge from insulators are one of the leading causes of faults in these lines. Therefore, an algorithm that can accurately assess the severity of insulator discharge quickly and that can provide real-time monitoring at the edge is needed. In this paper, these issues are addressed by making lightweight improvements to the YOLOv8 object detection algorithm. First, the input side is enhanced by introducing the Mosaic-9 data augmentation method, which improves the algorithm’s robustness and versatility. Next, the backbone network is replaced with the GhostNet network, achieving model lightweighting. The RELU activation function is replaced with GELU to enhance convergence speed and detection accuracy. Finally, the SIoU loss function is introduced to optimize the network, resulting in the Lightweight Improved YOLOv8 algorithm for assessing the severity of insulator discharge at the edge. Experimental validation shows that this algorithm achieves an 87.6% mean average precision (mAP) and 58 frames per second inference speed on edge devices, which meets the requirements for assessing the severity of insulator discharge at the edge.

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来源期刊
Journal of Electrical Engineering & Technology
Journal of Electrical Engineering & Technology ENGINEERING, ELECTRICAL & ELECTRONIC-
CiteScore
4.00
自引率
15.80%
发文量
321
审稿时长
3.8 months
期刊介绍: ournal of Electrical Engineering and Technology (JEET), which is the official publication of the Korean Institute of Electrical Engineers (KIEE) being published bimonthly, released the first issue in March 2006.The journal is open to submission from scholars and experts in the wide areas of electrical engineering technologies. The scope of the journal includes all issues in the field of Electrical Engineering and Technology. Included are techniques for electrical power engineering, electrical machinery and energy conversion systems, electrophysics and applications, information and controls.
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