Uncertainty analysis in EMC simulation based on Stochastic Collocation Method

机译：基于随机配置法的EMC仿真不确定性分析

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In this paper, the Stochastic Collocation Method is introduced into EMC uncertainty analysis. It is demonstrated to be accurate, with high computational efficiency, compared with the Method of Moments, the perturbation method and the Monte Carlo method. The Stochastic Collocation Method requires no modification to the original solver, and it is fit for being introduced into EMC simulation software.

机译：本文将随机配置方法引入到EMC不确定性分析中。与矩量法，摄动法和蒙特卡洛法相比，它被证明是准确的，具有较高的计算效率。随机配置方法不需要修改原始求解器，适合将其引入EMC仿真软件中。

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来源
《IEEE International Symposium on Electromagnetic Compatibility and EMC Europe》|2015年|930-934|共5页
会议地点 Dresden(DE)
作者
Bai Jinjun; Zhang Gang; Wang Lixin; Duffy Alistair;
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作者单位

Sch. of Electr. Eng. Autom., Harbin Inst. of Technol., Harbin, China;

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会议组织
原文格式 PDF
正文语种 eng
中图分类
关键词
EMC simulation software; Method of Moments; Mont Carlo Method; Stochastic Collocation Method; uncertainty analysis;

机译：EMC仿真软件；矩量法；蒙特卡洛法；随机配置法；不确定性分析;

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4. Uncertainty analysis in EMC simulation based on Stochastic Collocation Method [C] . Bai Jinjun, Zhang Gang, Wang Lixin, IEEE International Symposium on Electromagnetic Compatibility . 2015

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Uncertainty analysis in EMC simulation based on Stochastic Collocation Method

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