基于多尺度特征融合的变电运行设备过热故障检测研究  

Research on Overheating Fault Detection of Substation Operation Equipment Based on Multi Scale Feature Fusion

作　　者：邢琳曼 XING Linman(State Grid Huanggang Power Supply Company Substation Operation and Inspection Branch,Huanggang,Hubei 438000,China)

机构地区：[1]国网黄冈市供电公司变电运检分公司,湖北黄冈438000

出　　处：《移动信息》2025年第2期317-319,共3页Mobile Information

摘　　要：应用传统的变电运行设备过热故障检测方法时,环境干扰往往会导致过热预警的准确性下降.为解决该问题,文中提出了一种创新的方法,基于多尺度特征融合进行变电运行设备过热故障检测.该方法采用改进KPCA对变电运行设备特征进行降维处理;利用多尺度特征融合实现变电设备过热故障检测.实验结果表明,无论在何种条件下,该方法均能提供有效的预警,得到可靠的检测效果,具有较大的应用价值.When using traditional methods for detecting overheating faults in substation operation equipment,environmental interference often leads to a decrease in the accuracy of overheating warnings.To solve this problem,an innovative method based on multi-scale feature fusion is proposed in the paper for detecting overheating faults in substation operating equipment.This method uses improved KPCA to perform dimensionality reduction on the characteristics of substation operating equipment;Utilizing multi-scale feature fusion to detect overheating faults in substation equipment.The experimental results show that this method can provide effective warnings and achieve reliable detection results under any time conditions,and has great application value.

关 键 词：多尺度特征融合 变电运行设备 过热故障 故障检测 

分 类 号：TM762[电气工程—电力系统及自动化]