[1]刘玉洁,金 钧.基于改进的 YOLOv5s 绝缘子故障识别方法[J].机械与电子,2024,42(12):31-36.
 LIU Yujie,JIN Jun.Insulator Fault Identification Method of Overhead Contact System Based on Improved YOLOv5s[J].Machinery & Electronics,2024,42(12):31-36.
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基于改进的 YOLOv5s 绝缘子故障识别方法()
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《机械与电子》[ISSN:1001-2257/CN:52-1052/TH]

卷:
42
期数:
2024年12期
页码:
31-36
栏目:
自动控制与检测
出版日期:
2024-12-24

文章信息/Info

Title:
Insulator Fault Identification Method of Overhead Contact System Based on Improved YOLOv5s
文章编号:
1001-2257 ( 2024 ) 12-0031-06
作者:
刘玉洁金 钧
大连交通大学自动化与电气工程学院,辽宁 大连 116028
Author(s):
LIU Yujie JIN Jun
( School of Automation and Electrical Engineering , Dalian Jiaotong University , Dalian 116028 , China )
关键词:
绝缘子故障识别 YOLOv5s 网络AFPN MPDIoU 损失函数
Keywords:
insulator fault recognition YOLOv5s network AFPN MPDIoU loss function
分类号:
TP391.4
文献标志码:
A
摘要:
为解决高速铁路绝缘子故障检测中常见的错检、漏检等问题,以YOLOv5s 算法为基础进行优化提出 TASM-YOLOv5 算法。首先,增加 Triplet 注意力机制,以提升算法的特征提取能力;其次,引入 AFPN 渐进特征金字塔网络来提高特征融合利用能力,并且选用 SiLU 控制激活函数以提高稳定性;最后,更换损失函数为 MPDIoU 损失函数,可实现准确有效的边界框回归。实验结果表明, TASM-YOLOv5 算法的平均准确率较高,所得权重文件大小符合轻量化的要求,能有效提高绝缘子故障检测的精度。
Abstract:
In order to solve the? common problems such as wrong detection and missing detection in the fault detection of high speed railway insulators , the TASM-YOLOv5 algorithm is optimized based on the YOLOv5s algorithm.Firstly , the Triplet attention mechanism is added to improve the feature extraction capability of the algorithm.Secondly , the AFPN progressive feature pyramid network is introduced to improve the feature fusion utilization capability.SiLU control activation function is used to improve the stability.Finally , replacing the loss function with MPDIoU loss function can achieve accurate and efficient bounding box regression.The experimental results show that the average accuracy of the TASM-YOLOv5 algorithm is high , the weight file size meets the requirements of lightweight , and can effectively improve the accuracy of insulator fault detection.

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备注/Memo

备注/Memo:
收稿日期: 2024-06-24
作者简介:刘玉洁 ( 1999- ),女,山东临沂人,硕士研究生,研究方向为电力系统故障识别;金 钧 ( 1970- ),男,辽宁大连人,博士,副教授,研究方向为轨道交通电气化与自动化。
更新日期/Last Update: 2025-01-07