定子线棒电晕放电的声成像检测方法研究  

Research on Acoustic Imaging Detection Method of Stator Bar Corona Defects

作　　者：冯宇哲 陈阳[2] 王枭 王坤 张通 FENG Yuzhe;CHEN Yang;WANG Xiao;WANG Kun;ZHANG Tong(Zhejiang Electric Power Research Institute,Hangzhou 310014,China;Harbin Research Institute of Large Electrical Machinery Co.,Ltd.,Harbin 150040,China;Shanghai Truth Technology Co.,Ltd.,Shanghai 201108,China;Harbin Institute of Petroleum,Harbin 150000,China)

机构地区：[1]国网浙江省电力有限公司电力科学研究院,杭州310014 [2]哈尔滨大电机研究所有限公司,哈尔滨150040 [3]上海触实科技有限公司,上海201108 [4]哈尔滨石油学院,哈尔滨150000

出　　处：《大电机技术》2025年第2期70-77,共8页Large Electric Machine and Hydraulic Turbine

基　　金：国网浙江省电力公司科技项目(5211DS24000U)。

摘　　要：针对暗室目测法和紫外成像装置检测法,难以有效检测定子线棒背部电晕放电的问题,本文开展了声成像检测技术研究,提出了线棒电晕放电的声成像检测方法,在分析了算法选择和检测性能后,对存在防晕层故障的定子线棒开展了检测,并对线棒背部电晕放电信号的传播特性开展了分析。结果表明:声成像方法可以有效检测定子线棒背部的电晕放电故障,并根据声成像特征实现故障点的定位。The blackout test and ultraviolet imaging detection are difficult to detect corona discharge on the back of stator bars,an acoustic imaging detection method for corona discharge on stator bars is proposed.After analyzing the algorithm selection and detection performance,stator bars with anticorona layer faults are detected,and the propagation characteristics of corona discharge signals on the back of the bars is analyzed.The results show that acoustic imaging methods can effectively detect corona discharge faults on the back of stator bars and locate the fault point based on acoustic imaging features.

关 键 词：定子线棒 电晕 声成像 检测方法 

分 类 号：TM854[电气工程—高电压与绝缘技术]