基于自适应小波去噪的局部放电超高频信号测量方式  

Measurement Method of Partial Discharge Super High Frequency Signal Based on Adaptive Wavelet Denoising

作　　者：储后广 许广虎 何丹东 韩雪峰 CHU Houguang;XU Guanghu;HE Dandong;HAN Xuefeng(State Grid Xinjiang Company Limited Electric Power Research Institute,Urumqi 830000,China;College of Electrical and Information Engineering,Hunan University of Technology,Zhuzhou 412007,China)

机构地区：[1]国网新疆电力有限公司电力科学研究院,乌鲁木齐830000 [2]湖南工业大学电气与信息工程学院,株洲412007

出　　处：《自动化与仪表》2024年第2期102-105,共4页Automation & Instrumentation

基　　金：国家电网总部科技项目(5500202055416A0000)。

摘　　要：为精准完成局部放电超高频信号检测,该文提出基于自适应小波去噪的局部放电超高频信号测量方法。信号采集模块利用局部放电传感器以及时间交错模数转换技术,采集电力设备局部放电高频信号,将其输入至信号处理模块中,利用自适应小波降噪后,通过信号检测模块中的Duffing振子和混沌理论,检测局部放电超高频信号。测试结果显示,该方法能够采集不同类别局部放电信号,具有较好的连续性;降低噪声对于信号的干扰,幅值误差和波形相似度最大分别达到0.984和0.988,超高频信号检测精度均在92.5%以上。To accurately detect ultra-high frequency signals of partial discharge,a measurement method for ultra-high frequency signals of partial discharge based on adaptive wavelet denoising is proposed.The signal acquisition module utilizes partial discharge sensors and time interleaved analog-to-digital conversion technology to collect high-frequency signals of partial discharge in power equipment.These signals are input into the signal processing module,and after adaptive wavelet denoising,the ultra-high frequency signals of partial discharge are detected through the Duffing oscillator and chaos theory in the signal detection module.The test results show that this method can collect different types of partial discharge signals and has good continuity.Reduce the interference of noise on the signal,with maximum amplitude error and waveform similarity reaching 0.984 and 0.988.The detection accuracy of ultra-high frequency signals is above 92.5%.

关 键 词：自适应 小波去噪 局部放电 超高频 信号测量 混沌理论 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]