Stochastic PEEC Method Based on Polynomial Chaos Expansion

被引：7
|
作者：
Torchio, R. [1 ]
Di Rienzo, L. [2 ]
Codecasa, L. [2 ]
机构：
[1] Univ Padua, Dipartimento Ingn Ind, I-35141 Padua, Italy
[2] Politecn Milan, Dipartimento Elettron Informaz & Bioingn, I-20133 Milan, Italy
来源：
IEEE TRANSACTIONS ON MAGNETICS | 2019年 / 55卷 / 06期
关键词：
Integral equations; partial element equivalent circuit (PEEC); polynomial chaos expansion (PCE); uncertainty quantification;
D O I：
10.1109/TMAG.2019.2908588
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The new stochastic partial element equivalent circuit (PEEC) method is proposed for uncertainty quantification in electromagnetic problems when material parameters are considered as random variables. The proposed formulation is derived using polynomial chaos expansion (PCE) and Galerkin projection. For the first time, the well-known advantages of PEEC are combined with those of PCE techniques, which can tackle also large variations in the random parameters. Volume conductive media are first considered in the formulation, which is then extended to dielectric, magnetic, and surface conductive media.
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页数：4
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