Acoustic Emission Source Localization System Using Fiber Bragg Grating Sensors and a Barycentric Coordinate-Based Algorithm
Acoustic Emission Source Localization System Using Fiber Bragg Grating Sensors and a Barycentric Coordinate-Based Algorithm
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DOI：
10.1155/2018/9053284
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发表时间：
2018-08
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影响因子：
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通讯作者：
Dandan Pang;Q. Sui;Ming Wang;Y. Sai;Rongyao Sun;Yikang Wang
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文献类型：
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作者：
Dandan Pang;Q. Sui;Ming Wang;Y. Sai;Rongyao Sun;Yikang Wang
结构和机器非常容易受到一些几乎不可见的缺陷的影响，声发射（AE）是检测缺陷并检查这些缺陷的生长和位置的有效技术。本文提出了一种新的预测声发射源位置的方法。采用光纤光栅传感器采集声发射源的动态应变信号。采用复Morlet小波变换提取声发射信号中的窄带信号。提出了一种基于质心坐标的定位算法，可以用来预测声发射源的坐标。基于所设计的声发射检测系统，在500 mm × 500 mm × 2 mm铝合金板上进行了验证试验。实验结果表明，该方法是可行的。
Structures and machines are very susceptible to some barely visible defects; acoustic emission (AE) is an effective technique of detecting defects and examining growth and location of these defects. In this paper, a new method was proposed to predict the position of the AE source. The dynamic strain signal from the AE source was acquired by fiber Bragg grating (FBG) sensors. Complex Morlet wavelet transform was used to extract narrowband signals from AE waves. It was proposed that the barycentric coordinate-based localization algorithm can be used to predict the coordinates of the AE source. The validation tests based on the designed AE detection system were performed on a 500 mm × 500 mm × 2 mm Al-alloy plate. The experimental results show that the proposed method is feasible.