高电压技术2025，Vol.51Issue(7)：3132-3158,27.DOI:10.13336/j.1003-6520.hve.20250717
电气设备局部放电检测技术述评:2015-2025
Review of Partial Discharge Detection Technology in Electrical Equipment:2015-2025
摘要
Abstract
Partial discharge(PD)is a critical early indicator of insulation degradation and fault development in electrical equipment.Its detection and analysis technologies are applied throughout the entire life cycle of electrical equipment and serve as essential parameters for evaluating insulation condition.Over the past decade,with the deepening of PD research and practice,as well as the rapid integration of emerging technologies,PD detection and analysis techniques have achieved significant advancements.This paper systematically reviews major research achievements over the past ten years from following three aspects:PD detection technologies,localization methods,and pattern recognition algorithms.Moreover,this paper discusses the current challenges in practical engineering applications,including false alarms and missed detection in PD monitoring,insufficient accuracy of on-site defect pattern recognition,lack of dynamic PD diag-nostic technologies,limited understanding of PD mechanisms under complex operating conditions,and emerging needs for PD detection and analysis in new application scenarios.Furthermore,this paper proposes that future work should fo-cus on accelerating the engineering application of multi-parameter fusion detection and emerging sensing technologies,enhancing the practical applicability of artificial intelligence algorithms for practical defect identification,promoting re-search on dynamic PD diagnostic,and expanding PD detection and analysis methods for new scenarios.关键词
局部放电/检测技术/定位方法/诊断算法/多参量融合/光纤技术/人工智能/复杂工况Key words
partial discharge/detection technology/localization method/diagnostic algorithm/multi-parameter fusion/optical fiber technology/artificial intelligence/complex operating conditions引用本文复制引用
李军浩,韩旭涛,王昊天,周阳,陈欢,郭若琛,司文荣..电气设备局部放电检测技术述评:2015-2025[J].高电压技术,2025,51(7):3132-3158,27.基金项目
国家自然科学基金联合基金重点项目(U22B20118).Project supported by Key Program of the Joint Fund of National Natural Science Foundation of China(U22B20118). （U22B20118）
