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Health Monitoring of Metallic Structures with Electromechanical Impedance and Piezoelectric Sensors

机译:机电阻抗和压电传感器对金属结构的健康监测

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摘要

In order to monitor the health condition of structures in a more sensitive and accurate way, a novel and universal methodology called direct coupling mechanical impedance (DCMI) for characteristic signatures extraction is presented in this paper. This methodology is used to obtain DCMI signatures from measured raw signatures (RSs) with the surface-bonded piezoelectric sensors (PZT), which is developed from a pertinent electromechanical impedance (EMI) theoretical model for surface-bonded circular PZT. The proposed DCMI methodology has the advantages of simple calculation and magnifying the signatures when compared with the existing methods. Combining the extracted DCMI signatures with the root mean square deviation (RMSD) index is able to quantify the correlation between the health condition and the signatures variation more effectively. To verify the effectiveness of proposed DCMI methodology, experiments are conducted on aluminum plates and a part of fuselage in detail. The experimental results sufficiently demonstrate that the presented universal DCMI methodology possesses better sensitivity than the raw signatures when utilized for evaluating the health condition of metallic structures, including those made of metal-matrix nanomaterials.
机译:为了以更灵敏和准确的方式监测结构的健康状况,本文提出了一种新颖的通用方法,称为直接耦合机械阻抗(DCMI),用于特征签名提取。此方法用于通过表面粘合压电传感器(PZT)从测量的原始签名(RS)获得DCMI签名,该表面粘合压电传感器是从针对表面粘合圆形PZT的相关机电阻抗(EMI)理论模型开发的。与现有方法相比,所提出的DCMI方法具有计算简单和放大签名的优点。将提取的DCMI签名与均方根偏差(RMSD)指数相结合,可以更有效地量化健康状况和签名变化之间的相关性。为了验证所提出的DCMI方法的有效性,对铝板和部分机身进行了详细的实验。实验结果充分证明,当用于评估金属结构(包括由金属基质纳米材料制成的结构)的健康状况时,所提出的通用DCMI方法具有比原始特征更好的灵敏度。

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