湖北电力2025，Vol.49Issue(2)：11-22,12.DOI:10.3969/j.issn.1006-3986.2025.02.002
基于多模态信息融合的高压开关柜局部放电缺陷识别与定位
Partial Discharge Defect Identification and Localization in High-Voltage Switchgear Based on Multimodal Information Fusion
摘要
Abstract
Aimed at the problem of imprecise detection and localization of partial discharges in switchgear when a single signal is used,this paper designs an integrated sensor that fuses three types of signals—Transient Earth Voltage(TEV),Ultra-High Frequency(UHF),and Acoustic Arrays(AA).Subsequently,through the partial discharge simulation test of the real-type switchgear,the paper uses the partial discharge signals detected by the three-in-one sensor to calculate the 5-dimensional time-domain signal characteristics respectively and construct a multimodal information fusion model to achieve the identification of different types of insulation faults.Furthermore,based on the designed sensor,the paper combines with the time difference of arrival(TDOA)method to make a study on the location of the partial discharge power supply for the designed sensor switchgear,and also proposes the sampling period conditions that need to be satisfied when the time difference method is used.关键词
开关柜/局部放电/多模态信息融合/一体化传感器/局部放电定位Key words
switchgear/partial discharge/multimodal information fusion/integrated sensor/partial discharge localization分类
信息技术与安全科学引用本文复制引用
ZHANG Liang,LI Hao,ZHAO Dongpo,YAO Li,CHEN Yingjing..基于多模态信息融合的高压开关柜局部放电缺陷识别与定位[J].湖北电力,2025,49(2):11-22,12.基金项目
国网河南省电力公司科技项目(项目编号:5217G0240004). （项目编号:5217G0240004）
