肖洒,陈波,沈道贤,陈浩.改进VMD和阈值算法在局部放电去噪中的应用[J].电子测量与仪器学报,2021,35(11):206-214
改进VMD和阈值算法在局部放电去噪中的应用
Application of improved VMD and threshold algorithmin partial discharge denoising
  
DOI:
中文关键词:  局部放电  变分模态分解  天牛须算法  峭度  3σ准则  阈值去噪
英文关键词:PD  VMD  BAS  kurtosis  3σ rule  threshold denoising
基金项目:
作者单位
肖洒 合肥工业大学电气与自动化工程学院合肥230009 
陈波 合肥工业大学电气与自动化工程学院合肥230009 
沈道贤 合肥工业大学电气与自动化工程学院合肥230009 
陈浩 国家电网六安电力公司六安237006 
AuthorInstitution
Xiao Sa Electrical and Automation Engineering Institute, Hefei University of Technology, Hefei 230009, China; 
Chen Bo Electrical and Automation Engineering Institute, Hefei University of Technology, Hefei 230009, China; 
Shen Daoxian Electrical and Automation Engineering Institute, Hefei University of Technology, Hefei 230009, China; 
Chen Hao State Grid Lu’an Power Supply Company, Lu’an 237006, China 
摘要点击次数: 425
全文下载次数: 0
中文摘要:
      为解决局部放电检测中存在白噪声和周期窄带干扰的问题,提出一种结合改进变分模态分解(VMD)和阈值算法的局部放电去噪法。针对VMD在实际应用中难以自适应选取分解参数的问题,提出以能量偏差最小为原则确定分解个数,通过天牛须搜索算法(BAS)优化各分量对应的惩罚因子,以峭度准则筛选出有效分量,从而去除掉窄带干扰噪声;利用3σ准则确定阈值,结合阈值函数进一步去除有效分量中残留的白噪声,重构有效分量。通过对仿真、实测信号去噪分析,并与提升db4小波法、集合经验模态分解(EEMD)阈值法对比。结果表明,该方法具有更好的去噪效果,去噪后波形相似度更高,噪声抑制比更高,能够保留更多的局部放电特征。
英文摘要:
      In order to solve the problems of white noise and periodical narrow band interference in PD detection, a denoising method combining improved variational mode decomposition (VMD) and threshold denoising is proposed. Aiming at the problem that the VMD algorithm is difficult to choose the decomposition parameters adaptively in the practical application, the decomposition number is determined by the principle of minimum energy deviation, the penalty factor of each component was optimized by BAS, and the kurtosis criterion was used to screen the effective component, so as to eliminate the narrow band interference noise. Threshold function combined with 3σ criterion was used to remove the residual white noise in the effective component and reconstruct the effective component. Through simulation and measured signal denoising analysis and compared with lifting db4 wavelet method and EEMD threshold method, the results show that this method has better denoising effect, the denoising waveform similarity coefficient is higher after denoising, the noise rejection ratio is higher and can retain more partial discharge characteristics.
查看全文  查看/发表评论  下载PDF阅读器