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首页> 外文期刊>IEEE Transactions on Instrumentation and Measurement >A New Forward-Problem Solver Based on a Capacitor-Mesh Model for Electrical Capacitance Tomography
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A New Forward-Problem Solver Based on a Capacitor-Mesh Model for Electrical Capacitance Tomography

机译:基于电容网格模型的新型正向问题求解器

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摘要

An electrical-capacitance-tomography sensor consists of a set of measurement electrodes. It is difficult to calculate the capacitance for a given sensor structure and given permittivity distribution, which is called solving the forward problem, theoretically. Therefore, finite-element methods (FEM) and finite-difference methods are commonly used to solve the forward problem and to generate a sensitivity matrix for image reconstruction. This paper presents a new approach to solving the forward problem based on a capacitor-mesh model. It has been used for iterative image reconstruction using an updated sensitivity matrix according to an estimated image. In this paper, some simulation results are presented and compared with the results obtained using an FEM software package from Ansoft Company, showing that the new approach is promising.
机译:电容层析成像传感器由一组测量电极组成。从理论上讲,对于给定的传感器结构和给定的介电常数分布,很难计算电容。因此,通常使用有限元方法(FEM)和有限差分方法来解决前向问题并生成用于图像重建的灵敏度矩阵。本文提出了一种基于电容器网格模型的正向问题求解新方法。它已用于根据估计的图像使用更新的灵敏度矩阵进行迭代图像重建。本文介绍了一些仿真结果,并将其与使用Ansoft Company的FEM软件包获得的结果进行了比较,表明该新方法很有希望。

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