• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Applied Computational Electromagnetics Society journal >EMC Simulation Based on FDTD Analysis Considering Uncertain Inputs with Arbitrary Probability Density
【24h】

EMC Simulation Based on FDTD Analysis Considering Uncertain Inputs with Arbitrary Probability Density

机译：考虑不确定输入的任意概率密度的基于FDTD分析的EMC仿真

获取原文
获取原文并翻译 | 示例
       
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Stochastic Galerkin Method, a prevailing uncertainty analysis method, has been successfully used in today's EMC simulation, in order to consider non-ideality and unpredictability in actual circumstance. In this case, the inputs of the simulation are no longer certain values, but random variables with corresponding probability density distribution. This paper focuses on the arbitrary probability density cases at inputs. Two constructing orthogonal basis methods, the Wiener Haar expansion and the Stieltjes procedure, are generalized into the Stochastic Galerkin Method which is combined with the Finite Difference Time Domain analysis. With the help of the Feature Selective Validation, the quantitative precision comparison of the proposed methods in different cases (the probability density function is continuous or discontinuous) can be presented in detail.
机译：随机Galerkin方法（一种流行的不确定性分析方法）已成功用于当今的EMC仿真中，以考虑实际情况下的非理想性和不可预测性。在这种情况下，模拟的输入不再是特定值，而是具有相应概率密度分布的随机变量。本文关注输入端的任意概率密度情况。将维纳Haar展开和Stieltjes程序这两种构造正交基准方法推广到与有限时域分析相结合的随机Galerkin方法。借助特征选择验证，可以详细介绍所提出方法在不同情况下（概率密度函数是连续还是不连续）的定量精度比较。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号