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A Non-linear Model of Sensitivity Matrix for Electrical Capacitance Tomography

机译:电容断层扫描敏感矩阵的非线性模型

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The estimation of the permittivity distribution within a given volume by Electrical Capacitive Tomography relies on a relationship between the measured signal and the permittivity distribution, known as the sensitivity matrix. We show that relative permittivity variations must be lower than 25% to obtain errors smaller than 10% with the model whereas the permittivity can be scaled by up to 3.6 for the same error range with the proposed non- model. The errors remain below 15% over the whole range of permittivity.
机译:通过电容层析造影估计给定体积内的介电常数分布依赖于测量信号与介电常数分布之间的关系,称为灵敏度矩阵。 我们表明,对于模型,相对介电常数变化必须低于25%,以获得小于10%的误差,而介电常数可以在相同的误差范围与所提出的非模型相同的误差范围缩放。 在整个介电常数范围内,误差仍然低于15%。

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