{"title":"Uncertainty analysis in EMC simulation based on Stochastic Collocation Method","authors":"Bai Jin-jun, Zhang Gang, W. Lixin, A. Duffy","doi":"10.1109/ISEMC.2015.7256290","DOIUrl":null,"url":null,"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.","PeriodicalId":412708,"journal":{"name":"2015 IEEE International Symposium on Electromagnetic Compatibility (EMC)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Symposium on Electromagnetic Compatibility (EMC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISEMC.2015.7256290","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 15
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.
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