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On an image reconstruction method for ECT

机译:ECT的图像重建方法

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摘要

An image by Eddy Current Testing(ECT) is a blurred image to original flaw shape.In order to reconstruct fine flaw image, a new image reconstruction method has been proposed. This method is based on an assumption that a very simple relationship between measured data and source were described by a convolution of response function and flaw shape. This assumption leads to a simple inverse analysis method with deconvolution.In this method, Point Spread Function (PSF) and Line Spread Function(LSF) play a key role in deconvolution processing. This study proposes a simple data processing to determine PSF and LSF from ECT data of machined hole and line flaw. In order to verify its validity, ECT data for SUS316 plate(200×200×l0mm) with artificial machined hole and notch flaw had been acquired by differential coil type sensors(produced by ZETEC Inc).Those data were analyzed by the proposed method. The proposed method restored sharp discrete multiple hole image from interfered data by multiple holes. Also the estimated width of line flaw has been much improved compared with original experimental data. Although proposed inverse analysis strategy is simple and easy to implement,its validity to holes and line flaw have been shown by many results that much finer image than original image have been reconstructed.
机译:涡流检测技术(ECT)产生的图像是原始缺陷形状的模糊图像。为了重构精细缺陷图像,提出了一种新的图像重构方法。该方法基于以下假设:通过响应函数和缺陷形状的卷积描述了测量数据与源之间的非常简单的关系。这种假设导致了一种简单的反卷积反分析方法。在这种方法中,点扩展函数(PSF)和线扩展函数(LSF)在反卷积处理中起着关键作用。本研究提出了一种简单的数据处理方法,可以根据加工的孔和线缺陷的ECT数据确定PSF和LSF。为了验证其有效性,采用差动线圈型传感器(由ZETEC Inc.生产)获取了带有人工加工孔和缺口缺陷的SUS316板(200×200×10mm)的ECT数据,并对这些数据进行了分析。所提出的方法从多个孔的干扰数据中恢复了清晰的离散多个孔图像。与原始实验数据相比,线缺陷的估计宽度也有了很大的改善。尽管所提出的逆分析策略简单易行,但许多结果表明,它对孔和线缺陷的有效性已经得到了证明,它可以重建比原始图像更精细的图像。

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