辽宁石油化工大学学报2017，Vol.37Issue(5)：67-70,4.DOI:10.3969/j.issn.1672-6952.2017.05.013
基于FastICA改进EMD的算法研究
Research on Improved EMD Algorithm Based on FastICA
摘要
Abstract
The Empirical mode decomposition (EMD) has significant advantages in nonlinear and non-steady response signal processing algorithms ,but in the actual application process ,the EMD existed some defects ,in which the modal aliasing and false mode phenomenon is most prominent ,the modal aliasing phenomenon can be simple in the 1 intrinsic mode function (IMF) containing more than one order structure of intrinsic mode components .The false mode phenomenon is the frequency component that should not be existed , which has a serious influence on the identification accuracy of structural modal parameters .To solve this problem , this paper studies the above two defects in EMD , and proposes an improved EMD algorithm which combines the fast ICA algorithm (FastICA) in frequency band filtering and independent component analysis (ICA) algorithm .The structure frequency is identified by hilbert transform (HT ) ,and the effectiveness of the proposed algorithm is verified by the the Benchmark structure .关键词
经验模态分解(EMD)/盲源分离(BSS)/模态混叠/希尔伯特变换(HT)Key words
Empirical mode decomposition (EMD)/Blind source separation (BSS)/Mode mixing/Hilbert transform (HT )分类
建筑与水利引用本文复制引用
付春,孙祥磊,王昆,管海伟,刘娟,李明..基于FastICA改进EMD的算法研究[J].辽宁石油化工大学学报,2017,37(5):67-70,4.基金项目
住建部科学技术计划项目(2016-K5-009). （2016-K5-009）
