Title :
Uncertainty analysis in EMC simulation based on Stochastic Collocation Method
Author :
Jinjun, Bai ; Gang, Zhang ; Lixin, Wang ; Duffy, Alistair
Author_Institution :
School of Electrical Engineering and Automation, Harbin Institute of Technology, China
Abstract :
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.
Keywords :
Computational modeling; Electromagnetic compatibility; Interpolation; Method of moments; Monte Carlo methods; Stochastic processes; Uncertainty; EMC simulation software; Method of Moments; Mont Carlo Method; Stochastic Collocation Method; uncertainty analysis;
Conference_Titel :
Electromagnetic Compatibility (EMC), 2015 IEEE International Symposium on
Conference_Location :
Dresden, Germany
Print_ISBN :
978-1-4799-6615-8
DOI :
10.1109/ISEMC.2015.7256290
