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串联故障电弧检测技术研究现状及展望

周锐 刘江虹 丛北华

电测与仪表2026,Vol.63Issue(3):59-69,11.
电测与仪表2026,Vol.63Issue(3):59-69,11.DOI:10.19753/j.issn1001-1390.2026.03.006

串联故障电弧检测技术研究现状及展望

The current research progress and prospect of series arc fault detection technology

周锐 1刘江虹 1丛北华2

作者信息

  • 1. 上海海事大学 海洋科学与工程学院,上海 201306
  • 2. 同济大学 上海防灾救灾研究所,上海 200092
  • 折叠

摘要

Abstract

Arc fault,especially series arc fault,has been the primary cause of electrical fire,which is intermittent,hidden,random and uncertain,difficult to detect,and serious harm.The characteristics of arc fault are firstly ana-lyzed,including the division of arc fault and its detection difficulties.Secondly,the methods for series arc fault de-tection at home and abroad are explained,which are divided into detection methods based on the physical phenome-non of arc fault,detection methods based on arc models and simulation technology,and detection methods based on time-frequency characteristics,voltage and current.Among them,the focus is on the recent hot new deep learning methods,introducing AC and DC arc fault detection technologies respectively.Finally,from the perspective of practical application,the problems that need to be solved urgently in the detection scheme of series arc fault are pointed out,and the research and optimization direction of series arc fault detection in the future are prospected.

关键词

故障电弧检测/串联故障电弧/机器学习/深度学习

Key words

arc fault detection/series arc fault/machine learning/deep learning

分类

信息技术与安全科学

引用本文复制引用

周锐,刘江虹,丛北华..串联故障电弧检测技术研究现状及展望[J].电测与仪表,2026,63(3):59-69,11.

基金项目

上海市2022年度"科技创新行动计划"社会发展科技攻关项目(22dz1201100) (22dz1201100)

电测与仪表

1001-1390

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