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An Efficient Algorithm Embedded in an Ultrasonic Visualization Technique for Damage Inspection Using the AE Sensor Excitation Method

机译:超声可视化技术中嵌入的一种有效算法用于使用AE传感器激励方法进行损伤检查

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摘要

To improve the reliability of a Lamb wave visualization technique and to obtain more information about structural damages (e.g., size and shape), we put forward a new signal processing algorithm to identify damage more clearly in an inspection region. Since the kinetic energy of material particles in a damaged area would suddenly change when ultrasonic waves encounter the damage, the new algorithm embedded in the wave visualization technique is aimed at monitoring the kinetic energy variations of all points in an inspection region to construct a damage diagnostic image. To validate the new algorithm, three kinds of surface damages on the center of aluminum plates, including two non-penetrative slits with different depths and a circular dent, were experimentally inspected. From the experimental results, it can be found that the new algorithm can remarkably enhance the quality of the diagnostic image, especially for some minor defects.
机译:为了提高Lamb波可视化技术的可靠性并获得有关结构损伤(例如尺寸和形状)的更多信息,我们提出了一种新的信号处理算法,可以在检查区域内更清晰地识别损伤。由于当超声波遇到损坏时,损坏区域中材料颗粒的动能会突然改变,因此,嵌入在波可视化技术中的新算法旨在监视检查区域中所有点的动能变化,以构建损坏诊断程序。图片。为了验证新算法,对铝板中心的三种表面损伤进行了实验检查,包括两个不同深度的非穿透性狭缝和一个圆形凹痕。从实验结果可以发现,新算法可以显着提高诊断图像的质量,特别是对于一些较小的缺陷。

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