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Damage study of structures using Hotteling's T~2 curve in Electromechanical Impedance Method

机译:机电阻抗法利用热电站T〜2曲线结构损伤研究

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摘要

The recent advances in sensor technologies have led to the daunting task of combining the information and robust decision making for damage detection in structural health monitoring (SHM) due to its capabilities of extracting multiple information. The Electromechanical Impedance (EMI) method employs high frequencies range in assessing the local structural response based on structural health monitoring (SHM). This work describes the quantification of the frequency domain on the Al plate using principal component analysis (PCA) based hotteling's T~2 damage curve in describing the behaviour of signal. PCA used to reduce multivariable complex data set to lower dimension in order to reveal simplified statistical patterns. The EMI method used damage metrics as a tool to separate quantitatively or qualitative pre-process data of EMI spectra into classes depending on the damage presence, level and location. The information of sensor's resistance (R) and conductance (G) is studied in the frequency domain and data fusion is realized at the variable level using fused variable F. The proposed methodology is tested and validated for Al material by creating drilled holes.
机译:由于其提取多个信息的能力,传感器技术最近的传感器技术的进步导致了结合结构健康监测(SHM)中的损坏检测的令人生畏的任务。机电阻抗(EMI)方法采用高频率范围来评估基于结构健康监测(SHM)的局部结构响应。本作品描述了使用基于主成分分析(PCA)的Hotteling的T〜2损伤曲线在描述信号行为时的频域的定量。 PCA用于将多变量复杂数据缩小到更低的尺寸,以揭示简化的统计模式。 EMI方法使用损坏指标作为工具,以根据损坏的存在,水平和位置分别将EMI光谱的定量或定性预处理数据分别为类别。在频域中研究了传感器的电阻(R)和电导(G)的信息,并且使用熔融变量F在可变电平的数据融合中实现了数据融合。通过创建钻孔来测试和验证所提出的方法和验证Al材料的方法。

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