Uncertainty analysis in EMC simulation based on Stochastic Collocation Method

Bai Jinjun; Zhang Gang; Wang Lixin; Alistair Duffy

doi:10.1109/ISEMC.2015.7256290

Uncertainty analysis in EMC simulation based on Stochastic Collocation Method

Bai Jinjun
, Zhang Gang
, Wang Lixin
, Alistair Duffy

School of Electrical Engineering and Automation, Harbin Institute of Technology
De Montfort University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

19 Scopus citations

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.

Original language	English
Title of host publication	2015 IEEE International Symposium on Electromagnetic Compatibility, EMC 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	930-934
Number of pages	5
ISBN (Electronic)	9781479966158
DOIs	https://doi.org/10.1109/ISEMC.2015.7256290
State	Published - 10 Sep 2015
Externally published	Yes
Event	IEEE International Symposium on Electromagnetic Compatibility, EMC 2015 - Dresden, Germany Duration: 16 Aug 2015 → 22 Aug 2015

Publication series

Name	IEEE International Symposium on Electromagnetic Compatibility
Volume	2015-Septmber
ISSN (Print)	1077-4076
ISSN (Electronic)	2158-1118

Conference

Conference	IEEE International Symposium on Electromagnetic Compatibility, EMC 2015
Country/Territory	Germany
City	Dresden
Period	16/08/15 → 22/08/15

Keywords

EMC simulation software
Method of Moments
Mont Carlo Method
Stochastic Collocation Method
uncertainty analysis

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10.1109/ISEMC.2015.7256290

Cite this

Jinjun, B., Gang, Z., Lixin, W., & Duffy, A. (2015). Uncertainty analysis in EMC simulation based on Stochastic Collocation Method. In 2015 IEEE International Symposium on Electromagnetic Compatibility, EMC 2015 (pp. 930-934). Article 7256290 (IEEE International Symposium on Electromagnetic Compatibility; Vol. 2015-Septmber). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISEMC.2015.7256290

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title = "Uncertainty analysis in EMC simulation based on Stochastic Collocation Method",

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 = "EMC simulation software, Method of Moments, Mont Carlo Method, Stochastic Collocation Method, uncertainty analysis",

author = "Bai Jinjun and Zhang Gang and Wang Lixin and Alistair Duffy",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE International Symposium on Electromagnetic Compatibility, EMC 2015 ; Conference date: 16-08-2015 Through 22-08-2015",

year = "2015",

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day = "10",

doi = "10.1109/ISEMC.2015.7256290",

language = "英语",

series = "IEEE International Symposium on Electromagnetic Compatibility",

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booktitle = "2015 IEEE International Symposium on Electromagnetic Compatibility, EMC 2015",

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Jinjun, B, Gang, Z , Lixin, W & Duffy, A 2015, Uncertainty analysis in EMC simulation based on Stochastic Collocation Method. in 2015 IEEE International Symposium on Electromagnetic Compatibility, EMC 2015., 7256290, IEEE International Symposium on Electromagnetic Compatibility, vol. 2015-Septmber, Institute of Electrical and Electronics Engineers Inc., pp. 930-934, IEEE International Symposium on Electromagnetic Compatibility, EMC 2015, Dresden, Germany, 16/08/15. https://doi.org/10.1109/ISEMC.2015.7256290

Uncertainty analysis in EMC simulation based on Stochastic Collocation Method. / Jinjun, Bai; Gang, Zhang ; Lixin, Wang et al.
2015 IEEE International Symposium on Electromagnetic Compatibility, EMC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 930-934 7256290 (IEEE International Symposium on Electromagnetic Compatibility; Vol. 2015-Septmber).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Lixin, Wang

AU - Duffy, Alistair

PY - 2015/9/10

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N2 - 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.

AB - 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.

KW - EMC simulation software

KW - Method of Moments

KW - Mont Carlo Method

KW - Stochastic Collocation Method

KW - uncertainty analysis

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T3 - IEEE International Symposium on Electromagnetic Compatibility

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BT - 2015 IEEE International Symposium on Electromagnetic Compatibility, EMC 2015

PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 16 August 2015 through 22 August 2015

ER -

Jinjun B, Gang Z , Lixin W, Duffy A. Uncertainty analysis in EMC simulation based on Stochastic Collocation Method. In 2015 IEEE International Symposium on Electromagnetic Compatibility, EMC 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 930-934. 7256290. (IEEE International Symposium on Electromagnetic Compatibility). doi: 10.1109/ISEMC.2015.7256290

Uncertainty analysis in EMC simulation based on Stochastic Collocation Method

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