Machine Perception Based on Eddy Current for Physical Field Reconstruction of Conductivity and Hidden Geometrical Features
Machine Perception Based on Eddy Current for Physical Field Reconstruction of Conductivity and Hidden Geometrical Features
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DOI：
10.1109/tii.2019.2910857
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发表时间：
2019-04
影响因子：
12.3
通讯作者：
Min Li;Kok-Meng Lee
中科院分区：
文献类型：
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作者：
Min Li;Kok-Meng Lee
本文提出了一种新的机器感知方法的基础上的涡流（EC）的影响，重建的物理场（EC场，电导率场，和隐藏的几何特征）的有色金属材料中常见的智能制造使用一次性有限磁通密度（MFD）测量。建立了具有导体离散化的电致变色测试系统的分析模型，并用状态空间表示。两个改进（物理约束和自适应元素细化）的开发和集成到系统模型。线性地建立了离散MFD测量的物理场测量模型，将物理场重构问题转化为线性逆问题，并采用Tikhonov正则化方法求解。基于EC的机器感知的数值说明通过重建EC密度场，电导率场，和隐藏的几何特征的铝板。此外，元素细化，物理约束，和传感器的配置上的重建结果的影响进行了数值分析。使用一个实验样机组成的空心电磁铁和一个二维（2-D）阵列的磁传感器与相关的电子，机器感知方法的有效性和重建的物理场的准确性进行了实验证明。
This paper presents a new machine perception method based on eddy-current (EC) effects to reconstruct physical fields (EC field, electrical-conductivity field, and hidden geometrical features) of a nonferrous material commonly encountered in intelligent manufacturing using one-time finite magnetic flux density (MFD) measurements. An analytical model for EC testing system with conductor discretization is established and expressed in state-space representation. Two improvements (physical constraints and adaptive element refinement) are developed and integrated into the system model. The measurement models of physical fields using discrete MFD measurements are linearly established, reducing the physical field reconstruction to a linear inverse problem for solving using the Tikhonov regularization method. The EC-based machine perception is numerically illustrated by reconstructing the EC density field, conductivity field, and hidden geometrical features of aluminum plates. Additionally, the effects of element refinement, physical constraints, and sensor configurations on the reconstruction results are analyzed numerically. Using an experimental prototype consisting of an air-cored electromagnet and a two-dimensional (2-D) array of magnetic sensors with associated electronics, the effectiveness of the machine perception method and the accuracy of the reconstructed physical field are demonstrated experimentally.