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经验模态分解去噪技术及其在兰姆波检测中的应用
引用本文:李刚,石立华,王鑫伟. 经验模态分解去噪技术及其在兰姆波检测中的应用[J]. 计量学报, 2006, 27(2): 149-152
作者姓名:李刚  石立华  王鑫伟
作者单位:南京航空航天大学智能材料与结构航空科技重点实验室,江苏,南京,210016;解放军理工大学工程兵工程学院,江苏,南京,210007
摘    要:经验模态分解(EMD)是一种新出现的处理非线性、非稳态数据的信号分析方法,通过三次样条包络分离数据的高阶成分和趋势。利用EMD的这种特性对超声兰姆波检测中的实测信号作去噪处理,并与小波去噪结果进行了对比,表明EMD去噪具有更强的自适应能力,且需知的原信号先验信息更少。

关 键 词:计量学  超声测量  经验模态分解  去噪  信号分解  兰姆波
文章编号:1000-1158(2006)02-0149-04
收稿时间:2004-06-23
修稿时间:2004-08-09

EMD Denoising Method and Its Application in Lamb Wave Detection
LI Gang,SHI Li-hua,WANG Xin-wei. EMD Denoising Method and Its Application in Lamb Wave Detection[J]. Acta Metrologica Sinica, 2006, 27(2): 149-152
Authors:LI Gang  SHI Li-hua  WANG Xin-wei
Affiliation:1. Aeronautic Key Lab for Smart Material and Structure, Nanjing Univ. of Aeronautics and Astronautics, Nanjing, Jiangsu 210016, China; 2. Engineering Institute of Corps of Engineers, PLA Univ. of Science and Technology, Nanjing, Jiangsu 210007, China
Abstract:Empirical Mode Decomposition(EMD) is a new method for analyzing nonlinear and non-stationary data.This method can separate higher order signals from the original data by using cubic spline,and is employed here to eliminate noise from measured Lamb wave signals.By comparison with the wavelet analysis method,it is shown that the EMD has better adaptive ability in decomposing noise-polluted signals and less empirical information is required in the denoising process.
Keywords:Metrology  Ultrasonic measure  Empirical mode decomposition  Denoise  Signal decomposition  Lamb wave
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