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A cross-shaped array which was composed of piezoelectric sensors was used for the excitation and reception of Lamb wave signals. A two-dimensional multiple signal classification (2D-MUSIC) method was proposed to locate and detect defects in aluminum plates. Firstly, the appropriate excitation frequency was selected for the generation of a single mode signal to avoid the influences of multi-mode and reduce the dispersion of Lamb waves. Then, received signals were segmented by 2D-MUSIC algorithm. Finally, reflected signals and 2D steering vectors were combined to locate the defects in the aluminum plate. The results show that the proposed 2D-MUSIC algorithm is more accurate than traditional multiple signal classification algorithm for defecting locations in aluminum plates. © 2020, China Mechanical Engineering Magazine Office. All right reserved.
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来源 :
China Mechanical Engineering
ISSN: 1004-132X
年份: 2020
期: 17
卷: 31
页码: 2038-2044