基于机器学习和可见光识别的电气设备局部放电监测设计与应用  

The Design and Application of Partial Discharge Monitoring for Electrical Equipment Based on Machine Learning and Visible Light Recognition

作　　者：马家忠 MA Jiazhong(Baise Vocational College,Baise 533000,Guangxi,China)

机构地区：[1]百色职业学院,广西百色533000

出　　处：《光源与照明》2025年第2期79-81,共3页Lamps & Lighting

摘　　要：文章介绍了机器学习在电气设备性能管理中的应用背景,从局部放电监测类型及检测方法、局部放电关键因素等方面分析了机器学习在电气设备局部放电监测中的应用逻辑,并探究了基于机器视觉和可见光识别的电气设备局部放电监测设计与应用,以期提高电气设备运行的效率与质量。This paper introduces the application background of machine learning in the performance management of electrical equipment,analyzes the application logic of machine learning in the partial discharge monitoring of electrical equipment from the aspects of partial discharge monitoring types and detection methods,key factors of partial discharge,etc.,and explores the design and application of partial discharge monitoring of electrical equipment based on machine vision and visible light recognition,in order to improve the effi ciency and quality of electrical equipment operation.

关 键 词：机器学习 可见光识别 电气设备 局部放电监测 

分 类 号：TM855[电气工程—高电压与绝缘技术]