重庆邮电大学学报（自然科学版）2017，Vol.29Issue(6)：768-775,8.DOI:10.3979/j.issn.1673-825X.2017.06.010
基于最大相关波形延拓改进的EEMD方法
An improved EEMD method based on maximal correlation waveform extension
摘要
Abstract
Aiming at the existing problems of end effects and mode mixing in EMD,an improved EEMD method based on MCWE(maximal correlation waveform extension) is proposed.Firstly,MCWE is used to achieve a smooth transition at the junction of an original signal and its extension and reduce the error of envelope near the ends of data.Secondly,in order to solve the problem that the parameters can not be obtained automatically in EEMD,the adaptive EEMD is used to decompose the new signal to improve the decomposition accuracy.Simulation results and rotor unbalance fault diagnosis examples show that the proposed new method not only can reduce false components and eliminate mode mixing in EMD,but also improve the decomposition distortion caused by end effect effectively.At the same time,it has higher decomposition accuracy compared with the improved EEMD method based on symmetrical extrema extension and the improved EEMD method based on mirror extension.关键词
聚合经验模态分解(EEMD)/端点效应/模态混叠/时频分析Key words
ensemble empirical mode decomposition (EEMD)/end effects/mode mixing/time-frequency analysis分类
信息技术与安全科学引用本文复制引用
郭翠娟,李德冲,荣锋,刘晓勇..基于最大相关波形延拓改进的EEMD方法[J].重庆邮电大学学报（自然科学版）,2017,29(6):768-775,8.基金项目
国家自然科学基金(61405144) （61405144）
天津市自然科学基金(15JCQNJC42100) （15JCQNJC42100）
天津市科技特派员项目(16JCTPJC48100,16JCTPJ47200)The National Natural Science Foundation of China(61405144) （16JCTPJC48100,16JCTPJ47200）
The Natural Science Foundation Project of Tianjin (15JCQNJC42100) （15JCQNJC42100）
The Science and Technology Special Commissioner Project of Tianjin(16JCTPJC48100,16JCTPJ47200) （16JCTPJC48100,16JCTPJ47200）
