摘要
针对电力设备局部放电信号容易受到环境中的窄带噪声和白噪声的干扰,为了更好保留局放信号特征以便后续进行故障诊断和预测,提出了一种基于压缩感知重构和变分模态分解的变压器局部放电信号去噪方法。该方法首先使用窗函数抑制窄带干扰的频率泄露,之后利用窄带干扰在频域上与局放信号和白噪声之间稀疏度的差异从而将窄带信号进行分离重构以抑制窄带噪声,其次通过改进变分模态分解方法根据各模态含有局放信号信息的多少来对不同模态进行分类去噪,最终恢复出局放信号。通过仿真及实测信号对该方法进行去噪效果测试,并与奇异值分解和变分模态分解去噪方法的去噪效果进行对比,结果表明该方法能够有效抑制局部放电信号的干扰,相比传统算法的波形相似系数提升约2%,能够更好的保留局部放电信号的波形特征。
The partial discharge signal of power equipment is prone to interference from narrow band noise and white noise in the environment.In order to better preserve the characteristics of local discharge signal for fault diagnosis and prediction,a method of denoising transformer partial discharge signal based on compressed sensing reconstruction and variational mode decomposition is proposed.This method firstly uses the window function to suppress the frequency leakage of narrowband interference,and then separates and reconstructs narrowband signals to suppress narrowband noise by taking advantage of the difference in sparsity between narrowband interference and local emission signal and white noise in the frequency domain.Secondly,by improving variational mode decomposition method,different modes are classified and denoised according to the amount of local emission signal information contained in each mode.Finally restore the outgoing release signal.The denoising effect of this method is tested by simulation and actual signal,and the denoising effect is compared with that of singular value decomposition and variational mode decomposition.The results show that this method can effectively suppress the interference of partial discharge signal,and the waveform similarity coefficient is improved by about 2%compared with the traditional algorithm,and the waveform characteristics of partial discharge signal can be better preserved.
作者
王映植
严天峰
汤春阳
高锐
牛瑞婷
Wang Yingzhi;Yan Tianfeng;Tang Chunyang;Gao Rui;Niu Ruiting(School of Electronic and Information Engineering,Lanzhou Jiaotong University,Lanzhou 730070,China;Gansu Province Radio Monitoring and Positioning Industry Technology Center,Lanzhou 730070,China;Silk Road Brahma Communication Technology,Lanzhou 730030,China)
出处
《电子测量技术》
北大核心
2024年第2期160-167,共8页
Electronic Measurement Technology
基金
甘肃省科技重大专项(22ZD6GA041)
甘肃省重点人才项目(6660010201)
国家自然科学基金(62361034)项目资助。
关键词
局部放电
压缩感知重构
改进变分模态分解
去噪
partial discharge
compressed sensing reconstruction
improved variational mode decomposition
denoise
作者简介
王映植,硕士研究生,主要研究方向为变压器故障预测、无线通信等。E-mail:2480213924@qq.com;通信作者:严天峰,教授,主要研究方向为无线电通信与监测。E-mail:yantianfeng@163.com。
