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使用波束形成和奇异值分解同时定位两个声发射源。

Localizing two acoustic emission sources simultaneously using beamforming and singular value decomposition.

作者信息

He Tian, Xie Ying, Shan Yingchun, Liu Xiandong

机构信息

School of Transportation Science and Engineering, Beihang University, Beijing 100191, PR China.

School of Transportation Science and Engineering, Beihang University, Beijing 100191, PR China.

出版信息

Ultrasonics. 2018 Apr;85:3-22. doi: 10.1016/j.ultras.2017.10.019. Epub 2017 Oct 25.

Abstract

Aiming at the issue that the weak AE source is easy to be lost when localizing simultaneous two acoustic emission (AE) sources by the beamforming method (BFM), a novel method is developed based on beamforming and singular value decomposition (SVD). Firstly, the AE data and propagation characteristics of the two simultaneous AE sources with different frequency, different magnitude and different positions are obtained, and localization results by directly using the beamforming are investigated. Then SVD method is introduced to pre-process the signals from AE sources and solve the problem of missing location. Finally, the method is verified on a steel plate by AE experiment. The results show that the localization method based on SVD-beamforming method (SVD-BFM) can effectively locate the simultaneous double AE sources.

摘要

针对波束形成法(BFM)在对两个同时发生的声发射(AE)源进行定位时弱AE源容易丢失的问题,提出了一种基于波束形成和奇异值分解(SVD)的新方法。首先,获取了两个不同频率、不同幅值和不同位置的同时发生的AE源的AE数据及传播特性,并研究了直接使用波束形成的定位结果。然后引入SVD方法对来自AE源的信号进行预处理,解决定位缺失问题。最后,通过AE实验在钢板上对该方法进行了验证。结果表明,基于SVD-波束形成法(SVD-BFM)的定位方法能够有效地对同时发生的双AE源进行定位。

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