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A Nonlinear Iteration ECT Algorithm for the Reconstruction of Permittivity Graded Insulation

机译:一种用于重建介电常数绝缘的非线性迭代ECT算法

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Dielectric with functionally graded material (d-FGM) is a novel insulation with spatially non-uniform permittivity distribution. This kind of insulation structure could relieve field distortion and uniform surface electric distribution, thus improving flashover voltage remarkably. The detection of parametric distribution is essential for the estimation of d-FGMs. Herein, a nonlinear electrical capacitance tomography (ECT) iteration algorithm is proposed to reconstruct the parametric distribution of permittivity graded material ($arepsilon$-FGM). Compared to conventional reconstruction algorithm like Tikhonov, Landweber, the proposed algorithm has better accuracy with respect to a multi-layer permittivity graded structure. Furthermore, the effects of noise level, and the number of layers is systematically investigated. The numerical results indicate that this iteration strategy also possesses good robustness.
机译:具有功能梯度材料(D-FGM)的电介质是具有空间上不均匀的介电常数分布的新型绝缘。这种绝缘结构可以缓解场失真和均匀的表面配电,从而显着提高闪络电压。参数分布的检测对于估计D-FGM是必不可少的。这里,提出了一种非线性电容断层扫描(ECT)迭代算法来重建介电常数梯度材料的参数分布( $ varepsilon $ -fgm)。与Tikhonov,Landwover等传统重建算法相比,该算法具有相对于多层介电常数分级结构具有更好的精度。此外,系统地研究了噪声水平的影响和层数。数值结果表明,这种迭代策略也具有良好的鲁棒性。

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