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Defect classification based on rectangular pulsed eddy current sensor in different directions

机译:基于矩形脉冲涡流传感器不同方向的缺陷分类

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摘要

Pulsed eddy current (PEC) testing is a new emerging and effective electromagnetic non-destructive testing (NDT) technique. The main purpose of this study is to identify surface defects and sub-surface defects using features-based rectangular pulsed eddy current sensor. The further study of PEC rectangular sensor proposed in author's previous work has been made to classify the different types of defects in specimen. In different directions of sensor scanning, peak waves of pick-up coil are studied. We find that when sensor is on different position against the defect, peak waves of response signals present the same shape in direction of magnetic induction flux, while present different shapes in direction of exciting current. Experiment results have shown that the different classes of defects can be identified and classified effectively by selecting the rising time as the time domain feature in both directions. For improving the performance of defect classification, two new features from differential response signal are proposed to classify different types of defects combined with rising time. One is called as crossing time; the other is differential time to peak. The blind test is carried out and the results show that the new features are effective to classify the defects. Crown Copyright
机译:脉冲涡流(PEC)测试是一种新兴且有效的电磁无损测试(NDT)技术。这项研究的主要目的是使用基于特征的矩形脉冲涡流传感器来识别表面缺陷和亚表面缺陷。作者在先前的工作中提出了对PEC矩形传感器的进一步研究,以对样品中的不同类型的缺陷进行分类。在传感器扫描的不同方向上,研究了拾波线圈的峰值波。我们发现,当传感器位于缺陷的不同位置时,响应信号的峰值波在磁感应通量方向上呈现相同的形状,而在励磁电流方向上呈现不同的形状。实验结果表明,通过选择上升时间作为两个方向的时域特征,可以有效地识别和分类不同类别的缺陷。为了提高缺陷分类的性能,提出了差分响应信号的两个新功能,可以结合上升时间对不同类型的缺陷进行分类。一种称为穿越时间;另一种称为穿越时间。另一个是达到峰值的时间差。进行了盲测,结果表明新特征可以有效地对缺陷进行分类。皇冠版权

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