电力系统及其自动化学报2018，Vol.30Issue(3)：1-7,7.DOI:10.3969/j.issn.1003-8930.2018.03.001
基于完全集合经验模态分解和排列熵的局部放电信号的小波包去噪方法
Wavelet Package Denoising Method for Partial Discharge Signals Based on CEEMD and PE
摘要
Abstract
To effectively suppress the interference components of the noisy partial discharge(PD)signals,a wavelet package denoising method based on complete ensemble empirical mode decomposition(CEEMD)and permutation en-tropy(PE)is used to denoise the PD signals. Based on the CEEMD of noisy signals,the decomposed modal compo-nents are arranged according to the values of PE,and the modal components that need to be discarded or further decom-posed are determined. For those components that need further processing,wavelet package transformation is per-formed,and the decomposed component signals are reconstructed to obtain the PD signals after denoising.This method is used to denoise the simulated and measured PD signals,and it is further compared with the traditional wavelet denois-ing and empirical mode decomposition denoising methods.Simulation and experimental results show that the proposed method achieved an ideal denoising effect,which verified the effectiveness of the proposed method and facilitated the further processing of the pattern recognition of PD signals.关键词
局部放电/信号去噪/完全集合经验模态分解/排列熵/小波包Key words
partial discharge(PD)/signal denoising/complete ensemble empirical mode decomposition(CEEMD)/permutation entropy(PE)/wavelet package分类
信息技术与安全科学引用本文复制引用
高佳程,田蕴卿,朱永利,郑艳艳..基于完全集合经验模态分解和排列熵的局部放电信号的小波包去噪方法[J].电力系统及其自动化学报,2018,30(3):1-7,7.基金项目
国家自然科学基金资助项目(51677072) （51677072）
