基于三线圈电磁传感器考虑空间位置漂移效应的多形状非磁性金属电导率分类

Conductivity Classification of Multi-Shape Nonmagnetic Metal Considering Spatial Position Drift Effect with a Triple-Coil Electromagnetic Sensor.

作者信息

Wang Dong, Zhang Zhijie, Yin Wuliang, Chen Haoze, Ma Huidong, Zhou Guangyu, Zhang Yuchen

机构信息

School of Instrument and Electronics, North University of China, Taiyuan 030051, China.

School of Electrical and Electronic Engineering, University of Manchester, Manchester M60 1QD, UK.

出版信息

Sensors (Basel). 2022 Jul 29;22(15):5694. doi: 10.3390/s22155694.

DOI:10.3390/s22155694

PMID:35957251

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9371048/

Abstract

The primary step in metal recovery is metal classification. During eddy current testing (ECT), the shape of the sample can have an impact on the measurement results. To classify nonmagnetic metals in three shapes-planar, cylindrical, and spherical-a triple-coil electromagnetic sensor that operates as two coil pairs is used, and the difference in the phase tangent of the impedance change of the two coil pairs is used as a feature for the classification. The effect of spatial position drift between the sensor and the sample divided into lift-off vertically and horizontal drift horizontally on this feature is considered. Experimental results prove that there is a linear relationship between the feature and lift-off regardless of the metal shape, whereas horizontal drift has no effect on this feature. In addition, the slope of the curve between the feature and the lift-off is different for different shapes. Finally, a classification method eliminating the effect of lift-off variation has been constructed, and the classification accuracy of Cu-Al-Zn-Ti metals reached 96.3%, 96.3%, 92.6%, and 100%, respectively, with an overall correct classification rate of 96.3%.

摘要

金属回收的首要步骤是金属分类。在涡流检测（ECT）过程中，样品的形状会对测量结果产生影响。为了对平面、圆柱和球形这三种形状的非磁性金属进行分类，使用了一种作为两个线圈对工作的三线圈电磁传感器，并将两个线圈对阻抗变化的相位切线之差用作分类特征。考虑了传感器与样品之间的空间位置漂移（分为垂直提离和水平水平漂移）对该特征的影响。实验结果证明，无论金属形状如何，该特征与提离之间都存在线性关系，而水平漂移对该特征没有影响。此外，不同形状的特征与提离之间曲线的斜率不同。最后，构建了一种消除提离变化影响的分类方法，Cu-Al-Zn-Ti金属的分类准确率分别达到96.3%、96.3%、92.6%和100%，总体正确分类率为96.3%。