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Estimation of Charge Distribution on a Bulky Solid Dielectric Using Regularization Technique

机译:使用正则化技术估算大体积固体电介质上的电荷分布

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We have been studying a multi-point charge measurement method using an electrostatic probe. In this technique, charge densities x must be estimated from the probe outputs b by an inverse calculation based on an equation Ax = b. The matrix A is obtained by applying a numerical field calculation technique. When the matrix A is in ill-condition, the solution often makes no sense, including extremely large errors. Therefore, we apply the regularized least squares method (RLS) with a penalty term to perform the inverse calculation stably for the ill-conditioned matrix. The penalty term imposes some constraints on the solutions. In this paper, first, we have analyzed the accuracy of the charge distribution estimated by the inverse calculation. Although the perturbation bound of the solution errors has already been proposed for the least squares method, it has not yet been given for the RLS. We have derived the equations that express the perturbation bound of the solution errors in applying the RLS to evaluate the estimation accuracy. Second, we have applied the above equations to an experimental result for a cylindrical dielectric solid, and estimated the charge distribution represented by 10,140 unknowns. We have utilized an iteration technique and the symmetric configuration of the measured arrangement so as to reduce the amount of operations and memory capacity required for the inverse calculation.
机译:我们一直在研究使用静电探针的多点电荷测量方法。在这种技术中,必须通过基于等式Ax = b的逆计算,从探头输出b估算电荷密度x。通过应用数值场计算技术获得矩阵A。当矩阵A处于故障状态时,解决方案通常没有意义,包括极大的误差。因此,我们使用带有惩罚项的正则化最小二乘法(RLS)对病态矩阵进行稳定的逆计算。惩罚项对解决方案施加了一些约束。在本文中,首先,我们分析了通过逆计算估计的电荷分布的准确性。尽管已经为最小二乘法提出了解误差的摄动界,但对于RLS尚未给出。我们已经导出了表示在应用RLS评估估计精度时解误差的摄动界的方程。其次,我们将上述方程式应用于圆柱电介质固体的实验结果,并估算了由10,140个未知数表示的电荷分布。我们利用了迭代技术和被测布置的对称配置,以减少反算所需的运算量和存储容量。

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