摘要
针对电气设备运行过程中常见的绝缘缺陷故障,制作了几种典型缺陷的局部放电模型,包括尖端放电、沿面放电、气隙放电及悬浮放电。通过对不同缺陷放电声发射信号的时域波形、信号参数关联图谱特征的比较,得出4种类型放电声发射信号在脉冲幅值、相位、形状及工频正负半周对称性方面具有较大差异性;针对这种差异,提取了18个声发射波形特征参数,设计了多分类支持向量机分类器。识别测试结果表明,对4种典型缺陷局部放电类型的识别率达到92%,因此局部放电声发射波形特征参数可用于放电类型识别。
Aiming at the common insulation defects during the operation of electrical equipment,this article has produced several typical partial discharge models of defects,including tip discharge,creeping discharge,air gap discharge and floating discharge.By comparing the time-domain waveforms of the discharge acoustic emission signals of different defects recorded by the test system and the characteristics of the correlation graph of the parameters of the discharge acoustic emission signal,the positive and negative of the pulse amplitude,phase,shape and power frequency of the four types of discharge acoustic emission signals are obtained.There is a big difference in half-cycle symmetry;in response to this difference,18 acoustic emission waveform feature parameters are extracted,a multi-class support vector machine classifier is designed.The recognition test results show that for the recognition of four typical types of partial discharges of defects,the rate reaches 92%,so the partial discharge acoustic emission waveform characteristic parameters can be used for discharge type identification.
作者
梁建英
孙传铭
杨刚
高国强
魏隆
刘凯
LIANG Jianying;SUN Chuanming;YANG Gang;GAO Guoqiang;WEI Long;LIU Kai(CRRC Qingdao Sifang Co.,Ltd.,Qingdao 266111,China;College of Electrical Engineering,Southwest Jiaotong University,Chengdu 611756,China)
出处
《电器与能效管理技术》
2020年第12期14-21,共8页
Electrical & Energy Management Technology
基金
国家自然科学基金项目(51907167)。
关键词
放电类型
声发射
关联图谱
支持向量机
discharge type
acoustic emission
correlation analysis atlas
support vector machine
