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首页> 外文期刊>IEEE transactions on industrial informatics >Machine Perception Based on Eddy Current for Physical Field Reconstruction of Conductivity and Hidden Geometrical Features
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Machine Perception Based on Eddy Current for Physical Field Reconstruction of Conductivity and Hidden Geometrical Features

机译：基于涡流的机器感知电导率和隐藏几何特征的物理场重构

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摘要

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.
机译：本文提出了一种新的基于涡流（EC）效应的机器感知方法，以一次一次性有限磁重构智能制造中常见的有色金属的物理场（EC场，电导率场和隐藏的几何特征）。通量密度（MFD）测量。建立了带有导体离散化的EC测试系统的分析模型，并用状态空间表示法表示。开发了两项改进（物理约束和自适应元素改进）并将其集成到系统模型中。线性建立了使用离散MFD测量的物理场测量模型，从而将物理场重构简化为线性逆问题，从而可以使用Tikhonov正则化方法进行求解。通过重构铝板的EC密度场，电导率场和隐藏的几何特征，以数字方式说明了基于EC的机器感知。此外，数值分析了元素细化，物理约束和传感器配置对重建结果的影响。使用由空心电磁体和带有相关电子设备的二维（2-D）磁传感器阵列组成的实验原型，通过实验证明了机器感知方法的有效性和重构物理场的准确性。

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