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Reconstruction of Current Density Distribution in Low-Voltage Switching Devices Through TSVD and TGSVD Regularization

机译:通过TSVD和TGSVD规范改造低压开关装置电流密度分布

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This article examined two regularization methods for reconstructing the arc current density distribution of a switching device in an arc-quenching chamber. The finite-element method (FEM) was used to discretize the current-flow region of the arc-quenching chamber. Both truncated generalized singular value decomposition (TGSVD) and truncated singular value decomposition (TSVD) regularization were used to reconstruct the current density distribution. TGSVD addressed the poor reconstruction accuracy caused by the ill-posedness of the Biot-Savart operator. Simulation results showed that the reconstruction of current density distribution was more accurate with higher signal-to-noise ratios (SNRs) and lower mean-square errors (MSEs). Both regularization methods were accurate with low noise levels, although the reconstruction accuracy of TGSVD was more sensitive to noise than that of TSVD regularization.
机译:本文检查了两个正则化方法,用于在弧形淬火室中重建开关装置的电弧电流密度分布。有限元方法(FEM)用于离散弧形淬火室的电流流动区域。截断的广义奇异值分解(TGSVD)和截断的奇异值分解(TSVD)正则化用于重建电流密度分布。 TGSVD解决了由Biot-Savart运营商的弊端引起的重建准确性差。仿真结果表明,电流密度分布的重建更准确,具有较高的信噪比(SNR)和较低的平均误差(MSES)。两种正则化方法都具有低噪声水平的准确性,尽管TGSVD的重建精度对噪声更敏感而不是TSVD正则化。

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