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A fast acoustic emission beamforming localization method based on Hilbert curve

机译:基于希尔伯特曲线的快速声发射波束形成定位方法

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The low efficiency of the acoustic emission (AE) beamforming localization method in large-scale structural monitoring seriously restricts its application in practice. The Hilbert curve is introduced to improve the computational efficiency of AE beamforming method in this paper. Firstly, the Hilbert curve is introduced to traverse the monitored area, and quickly capture the approximate position of the AE source based on Beamforming. Then, the 'Nine-Four bisection' method is proposed to overcome the boundary problem in region division. Finally, the Hilbert curve-beamforming method (HCBF) is verified by simulation and experiment data. The results show that, the presented method not only greatly improves the computational efficiency, but also maintains the original localization accuracy and reliability. It creates a prerequisite for the further promotion and development of the beamforming method in the field of AE source localization in large-scale structural health monitoring.
机译:大规模结构监测中声发射(AE)波束形成定位方法的低效率严重限制了其在实践中的应用。引入Hilbert曲线以提高本文AE波束形成方法的计算效率。首先,引入Hilbert曲线以遍历受监控区域,并快速捕获基于波束形成的AE源的近似位置。然后,提出了“九四的二分”方法来克服区域划分中的边界问题。最后,通过模拟和实验数据验证了希尔伯特曲线形成方法(HCBF)。结果表明,呈现的方法不仅大大提高了计算效率,而且还保持了原始的本地化精度和可靠性。它在大规模结构健康监测中进一步推广和开发了AE源定位领域的波束形成方法的先决条件。

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