Multi-FBG sensor array-based impact localization with an energy eigenvector
Multi-FBG sensor array-based impact localization with an energy eigenvector
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DOI：
10.1117/1.oe.61.6.061406
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发表时间：
2022-02
影响因子：
1.3
通讯作者：
Jiang Wensong;Du Liangya;Luo Zai;Yang Li;Song Hao
中科院分区：
文献类型：
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作者：
Jiang Wensong;Du Liangya;Luo Zai;Yang Li;Song Hao
抽象的。为了定位复合材料结构上的冲击源，提出了一种基于多光纤布拉格光栅（FBG）传感器阵列的能量特征向量和相关插值（EECI）方法。通过小波变换消除基频干扰。通过小波包变换提取信号能量特征向量。通过分析碰撞响应信号与参考数据库中的信号之间的相关性，得到二维相关矩阵。然后应用线性插值来准确预测撞击位置。 EECI方法在有效测试尺寸为400×400（mm）的碳纤维复合材料板上进行了验证。实验结果表明，平均绝对误差为16.18 mm，平均相对误差(MRE)为4.04%。还讨论了FBG传感器阵列及其数量对定位精度的影响，以优化定位系统的布局。结果表明，单个FBG传感器阵列的MRE为[25.32%，44.50%]，两个FBG传感器阵列的MRE为[17.19%，42.63%]，三个FBG传感器阵列的MRE为[15.63%，22.47%]，这显示了多FBG传感器阵列的优势。
Abstract. To locate the impact source on a composite material structure, an energy eigenvector and correlation interpolation (EECI) method is proposed based on a multi-fiber Bragg grating (FBG) sensor array. The fundamental frequency interference is eliminated by the wavelet transformation. The signal energy feature vector is extracted by the wavelet packet transformation. A two-dimensional correlation matrix is obtained by analyzing the correlation between impact response signals and signals in the reference database. The linear interpolation is then applied to accurately predict the impact location. The EECI method is verified on a carbon fiber composite plate with an effective test size of 400 × 400 (mm). The experimental result shows that the mean absolute error is 16.18 mm and the mean relative error (MRE) is 4.04%. The influence of the FBG sensor arrays and the quantity on the localization accuracy is also discussed to optimize the layout of the localization system. It shows that the MRE is [25.32%, 44.50%] for a single FBG sensor array, [17.19%, 42.63%] for two FBG sensor arrays, [15.63%, 22.47%] for three FBG sensor arrays, which shows the advantages of multi-FBG sensor arrays.