Broadband Sparse Decomposition of Lamb Wave Signals

被引:1
|
作者
Hua, Jiadong [1 ,2 ]
机构
[1] Beihang Univ, Sci & Technol Reliabil & Environm Engn Lab, Xueyuan Rd 37, Beijing, Peoples R China
[2] Beihang Univ, Ningbo Inst Technol, Adv Mfg Ctr, Ningbo 315100, Peoples R China
基金
中国国家自然科学基金; 北京市自然科学基金;
关键词
Lamb waves; Sparse decomposition; Broadband signal; Dictionary design; DISPERSION; RECOVERY; DESIGN;
D O I
10.1007/s10921-023-00982-6
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
Lamb wave is a promising tool for structural health monitoring and nondestructive testing. During propagation, dispersion and multi-mode characteristics generally result in overlapping of wave packets. Sparse decomposition is developed to address the overlap problem. Traditional dictionary design in sparse decomposition is to search optimal matching between dictionary atoms and propagating wave packets. However, design accuracy is limited in broadband Lamb wave because propagating wave packet is difficult to predict with severe amplitude modulation and velocity dispersion. To overcome this limitation, broadband Lamb wave sparse decomposition is proposed. Firstly, tone burst models are used as dictionary atoms to match waveform segment rather than global wave packet. Subsequently, solved sparse vector by basis pursuit algorithm is reshaped into a time-frequency matrix. Finally, non-zero values in the matrix are extracted for reconstruction of separated wave packets. Experiments are given to demonstrate the effectiveness of proposed method.
引用
收藏
页数:11
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