摘要
局部放电是电器设备在长时间运行过程中绝缘劣化的表现,会导致设备绝缘击穿,及时发现局部放电极为重要。基于局部放电过程中伴随的物理现象,提出一种基于超高频和声学成像联合检测的方法。通过超高频传感器对4种缺陷放电的信号采集,分析这4种类型的图谱分布特征和统计特征,实现对4类缺陷放电故障的识别分类;通过螺旋麦克风阵列对局部放电过程中发出的声信号进行采集,通过波束形成算法对放电的声信号进行处理,以图像的形式显示出放电声源的位置,可以实现对开关柜局部放电声源的定位和放电故障缺陷识别。
Partial discharge is a manifestation of insulation degradation of electrical equipment during long-term operation,which eventually leads to insulation breakdown of equipment.It is extremely important that the partial discharge is detected promptly.Based on the accompanying physical phenomena in the partial discharge process,the joint detection method based on ultra-high frequency and acoustic imaging is proposed.The four types of defect discharge signals are collected by ultra-high frequency sensors,and the distribution characteristics and characteristics of the four types of graphs are analyzed.Statistical features to realize the identification and classification of 4 types of defect discharge faults.The acoustic signal emitted during the partial discharge process is collected through the spiral microphone array,and the acoustic signal of the discharge is processed by the beamforming algorithm.The discharge sound is displayed in the form of an image.The location of the source can realize the location of the partial discharge sound source of the switchgear and the identification of the discharge fault defect.
作者
徐晓刚
侯春光
陈正擎
XU Xiaogang;HOU Chunguang;CHEN Zhengqing(Shenyang University of Technology,Shenyang 110870,China)
出处
《电器与能效管理技术》
2023年第4期34-39,共6页
Electrical & Energy Management Technology
基金
国家自然科学基金项目(51977132)。
关键词
局部放电
声学成像
波束形成算法
故障识别
partial discharge
acoustic imaging
beamforming algorithm
fault identification