Comparison of stochastic reduced order model and stochastic collocation methods for the sensitivity analysis of crosstalk

Zhouxiang Fei, Yi Huang, Jiafeng Zhou, Chaoyun Song

Research output: Contribution to conferencePaper

Abstract

Sensitivity analysis is a crucial tool to reduce the randomness dimension of stochastic problems, thus to reduce computation cost. However, the efficacy of different stochastic methods for sensitivity analysis was totally missing. Therefore, two popular stochastic methods, i.e., the stochastic reduced order model (SROM) and stochastic collocation (SC) methods, are performed to analyse crosstalk sensitivity to different cable variables. The Monte-Carlo (MC) method is used as the reference. Both the SROM and SC methods are shown to be much more efficient by orders of magnitude compared with the MC method. The result also shows that the SROM performance is not as remarkable as that of the SC method in terms of efficiency. As a result, the SC method could be recommended as a promising efficient approach for sensitivity analysis in stochastic electromagnetic compatibility (EMC) problems.
Original languageEnglish
Pages0118
Number of pages5
DOIs
Publication statusPublished - 19 Jun 2019
EventTenth International Conference on Computational Electromagnetics (CEM 2019) -
Duration: 19 Jun 201920 Jun 2019

Conference

ConferenceTenth International Conference on Computational Electromagnetics (CEM 2019)
Period19/06/1920/06/19

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    Fei, Z., Huang, Y., Zhou, J., & Song, C. (2019). Comparison of stochastic reduced order model and stochastic collocation methods for the sensitivity analysis of crosstalk. 0118. Paper presented at Tenth International Conference on Computational Electromagnetics (CEM 2019), . https://doi.org/10.1049/cp.2019.0118