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Detection of edge debonding in composite patch using novel post processing method of thermography

机译:新型热成像后处理方法检测复合材料贴片中的边缘脱胶

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摘要

In the present work, the step heating thermography technique has been used to detect disbond defects at the edge of the adhered carbon/epoxy patch on the aluminum plate. The four common post-processing algorithms including principle component analysis (PCA), thermal signal reconstruction (TSR), Fourier transform (FT), and one-dimensional wavelet transform (1D WT) have been applied to the infrared thermal images obtained from the composite patch thermography inspection. A novel post processing method based on the area under temperature-time curve (Thermal Signal Area: TSA) has been proposed for the infrared thermal image analysis. The proposed post-processing method is fast and non-sensitive to noise. A comparison of the new proposed method with the four common post-processing methods has been carried out on disbond detection in a composite patch in a quantitative and qualitative manner. Furthermore, a data fusion of the proposed method with the 1D wavelets transform has been applied to disbond defect characterization which improves the accuracy by decreasing noise level.
机译:在目前的工作中,逐步加热热成像技术已被用于检测铝板上粘附的碳/环氧贴剂边缘的脱胶缺陷。四种主要的后处理算法,包括主成分分析(PCA),热信号重构(TSR),傅立叶变换(FT)和一维小波变换(1D WT),已应用于从复合图像获得的红外热图像中贴片热成像检查。提出了一种基于温度-时间曲线下面积(热信号面积:TSA)的新型后处理方法,用于红外热图像分析。所提出的后处理方法是快速的并且对噪声不敏感。在定量和定性的方式下,对复合贴片中的脱胶检测进行了新方法与四种常见后处理方法的比较。此外,所提出的方法与一维小波变换的数据融合已被应用到去骨缺陷表征中,该缺陷表征通过降低噪声水平而提高了准确性。

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