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时频域独立元分析方法实现超声兰姆波的多模式分离
引用本文:楼思佳, 刘珍黎, 许凯亮, 周昌, Lawrence H.Le, 他得安. 时频域独立元分析方法实现超声兰姆波的多模式分离[J]. 声学学报, 2021, 46(1): 103-110. DOI: 10.15949/j.cnki.0371-0025.2021.01.010
作者姓名:楼思佳  刘珍黎  许凯亮  周昌  Lawrence HLe  他得安
作者单位:复旦大学电子工程系 上海200433;复旦大学电子工程系 上海200433;珠海复旦创新研究院 珠海519000;宁波美童智能科技有限公司 宁波315300;阿尔伯塔大学放射与诊断图像系 埃德蒙顿 T6G2R3 加拿大
基金项目:国家自然科学基金项目(11525416,11827808,11974081);上海市优秀学术带头人计划项目(19XD1400500);上海市自然科学基金项目(19ZR1402700);上海市科委国际合作项目(17510710700);上海市青年科技启明星计划项目(20QC1400200);专用集成电路与系统国家重点实验室自主课题项目(2018MS004)资助。
摘    要:为方便兰姆波信号分析与模式定征,提出一种将短时傅里叶变换(Short-Time Fourier Transform,STFT)与独立元分析(Independent Component Analysis,ICA)相结合的多模式超声兰姆波识别方法。首先通过STFT将兰姆波时域信号投影至时频域,基于各模式信号在时频域相对独立的特点,利用ICA实现混叠模式分离。根据分离模式时频能量脊提取各模式群速度曲线,进而估计板厚。将方法运用于时域有限差分(Finite-Difference Time-Domain,FDTD)法仿真与钢板实验,分离得到A0、A1和S0三种模式。仿真与实验中平均群速度估计误差约为1.5%和2.0%,板厚估计误差约为0.3%和2.0%。仿真结果表明,在信噪比(Signal-to-Noise Ratio,SNR)不小于0 dB的情况下,时频域独立元分析方法均可实现兰姆波多模式分离、群速度曲线提取及板厚估计。

关 键 词:超声兰姆波  独立元分析  多模式分离  群速度提取  厚度估计
收稿时间:2019-06-10
修稿时间:2020-05-07

Ultrasonic Lamb waves multimodal separation through independent component analysis in the time-frequency domain
LOU Sijia, LIU Zhenli, XU Kailiang, ZHOU Chang, Lawrence H.Le, TA Dean. Ultrasonic Lamb waves multimodal separation through independent component analysis in the time-frequency domain[J]. ACTA ACUSTICA, 2021, 46(1): 103-110. DOI: 10.15949/j.cnki.0371-0025.2021.01.010
Authors:LOU Sijia  LIU Zhenli  XU Kailiang  ZHOU Chang  Lawrence HLe  TA Dean
Affiliation:1. Department of Electronic Engineering, Fudan University, Shanghai 200433;2. Zhuhai Fudan Innovation Institute, Zhuhai 519000;3. Ningbo Marvoto Intelligent Technology, Ningbo 315300;4. Department of Radiology and Diagnostic Imaging, University of Alberta, Edmonton AB T6G2R3 Canada
Abstract:To facilitate Lamb waves signal analysis and mode characterization,a multimodal Lamb waves identification method combining Short-Time Fourier Transform(STFT) and Independent Component Analysis(ICA) was proposed.Temporal signals were first projected into the time-frequency domain using STFT.Since different modes were relatively independent in the time-frequency domain,ICA was then introduced to realize the multimodal separation.The group velocity curve of each mode was extracted according to its time-frequency energy ridge.Thus,the plate thickness can be further estimated.The proposed method was applied to the Finite-Difference Time-Domain(FDTD) simulation and the steel plate experiment,with A0,S0 and A1 mode being separated.The average error of group velocity estimation in simulation and experiment was about 1.5% and 2.0%,with that of plate thickness estimation being 0.3% and 2.0%approximately.The simulation results show that,as the Signal-to-Noise Ratio(SNR) is not less than 0 dB,the timefrequency independent component analysis method can be used for Lamb waves multimodal separation,group velocity curves extraction and plate thickness estimation.
Keywords:Ultrasonic Lamb waves  Independent component analysis  Multimodal separation  Group velocity extraction  Thickness estimation
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