A Very-Low-Frequency Electromagnetic Inductive Sensor System for Workpiece Recognition Using the Magnetic Polarizability Tensor
A Very-Low-Frequency Electromagnetic Inductive Sensor System for Workpiece Recognition Using the Magnetic Polarizability Tensor
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DOI：
10.1109/jsen.2017.2676460
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发表时间：
2017-05-01
影响因子：
4.3
通讯作者：
Peyton, Anthony J.
中科院分区：
文献类型：
--
作者：
Tao, Yang;Yin, Wuliang;Peyton, Anthony J.
金属零件或工件的自动识别目前依赖于光学技术和图像匹配。无法区分不同材料的工件。在本文中，一种新的电磁感应传感器阵列类似于那些在电磁层析成像已被设计来解决这个问题。此外，而不是重建完整的磁极化率张量，我们提出了一个部分张量的方法，这表明，一个2-D张量是能够区分材料的差异和识别工件的几何优势与实验数据。此外，它已被发现，张量的相位是强烈的链接到材料的属性，而张量特征值的大小意味着工件的基本几何形状。
The automatic recognition of a metal component or workpiece currently relies on optical techniques and image matching. It is not possible to distinguish workpieces with different materials. In this paper, a novel electromagnetic inductive sensor array similar to those used in the electromagnetic tomography has been designed to address this problem. Furthermore, instead of reconstructing the full magnetic polarizability tensor, we have proposed a partial tensor approach, which shows that a 2-D tensor is capable of distinguishing the material difference and recognising the geometric dominance of workpieces with experimental data. In addition, it has been found that the phase of the tensor is strongly linked to the materials properties while the magnitude of the tensor eigenvalues implies the basic geometry of workpiece.