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Electromechanical impedance-based damage localization with novel signatures extraction methodology and modified probability-weighted algorithm

机译:基于机电阻抗的损伤本地化与新签名提取方法和修改概率加权算法

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摘要

Damage localization with electromechanical impedance is a significant technique in structural health monitoring and engineering community. In this paper, a newly-developed damage localization method is presented by integrating the novel signatures extraction methodology, direct-coupled mechanical impedance (DCMI), with a modified probability-weighted function. The DCMI methodology can be utilized to extract more damage-sensitive characteristic signatures from experimentally acquired raw signatures. Then a damage indicator, root mean square deviation (RMSD), is calculated in terms of real part and imaginary part of raw and DCMI signatures. The investigation on damage location imaging with a modified probability-weighted algorithm is subsequently performed and analyzed using the aforementioned indicators. To demonstrate the effectiveness of the proposed damage localization method, a series of verification experiments are conducted on a honeycomb sandwich composite structure with the surface-mounted piezoelectric sensor array. By comparing experimental results of damage localization, it is demonstrated that combining DCMI methodology with modified probability-weighted algorithm is capable of dramatically increasing the accuracy of damage location imaging.
机译:机电阻抗的损伤定位是结构健康监测和工程界的重要技术。本文通过将新颖的签名提取方法,直耦合机械阻抗(DCMI)与改进的概率加权函数集成来呈现新的损伤定位方法。可以利用DCMI方法从实验获取的原始签名中提取更多的伤害敏感特性签名。然后在RAW和DCMI签名的实数和虚构部分计算损坏指示器根均方偏差(RMSD)。随后使用上述指示器进行并分析了用修改的概率加权算法进行损伤定位成像的研究。为了证明所提出的损伤定位方法的有效性,在具有表面上安装的压电传感器阵列的蜂窝夹层复合结构上进行了一系列验证实验。通过比较损伤定位的实验结果,证明了与修改的概率加权算法相结合的DCMI方法能够显着提高损坏定位成像的精度。

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