高技术通讯2025，Vol.35Issue(11)：1213-1224,12.DOI:10.3772/j.issn.1002-0470.2025.11.006
基于多光谱图像的输变电设备综合状态评估方法研究
Comprehensive state evaluation method of power equipment based on multispectral image
摘要
Abstract
Given the variability of power equipment,the diversity of faults,the complexity of the environment,and the specificity of spectral imaging,it is difficult to accurately assess the actual state of power equipment using the single spectral imaging.This paper proposes a comprehensive state assessment framework for power equipment based on multispectral images.This method considers the imaging principles and structural features of different spectral ima-ges,and improves the object recognition algorithm YOLOv5(you only look once version 5.0)model by adding the anchor setting in the feature detection layer and optimizing the loss function to enhance the efficiency of target de-tection and recognition for power equipment.Meanwhile,this method comprehensively considers the advantages of diagnosing different types of faults under different spectral images,integrates equipment status information from multispectral images,and can accurately evaluate the fault status of power equipment.Experimental results show that the diagnostic accuracy of the proposed method on the constructed multispectral database is over 90.00%,and can accurately evaluate the heating,surface defects,and discharge faults of power equipment,which is significant for improving the operational safety of power equipment.关键词
多光谱图像/输变电设备/状态评估/故障诊断/YOLOv5模型Key words
multispectral image/power equipment/state assessment/fault diagnosis/YOLOv5引用本文复制引用
XUE Hanxiao,WAN Wenfei,XU Dan,WANG Yu..基于多光谱图像的输变电设备综合状态评估方法研究[J].高技术通讯,2025,35(11):1213-1224,12.基金项目
广州市科技计划(2024A03J0403),广州市重点研发计划2023年度重点领域研发专题(2023B01J0046),工业和信息化部电子第五研究所科技项目(HX2262002,21Z04)和广州大学2+5平台(PT252022039)资助项目. （2024A03J0403）
