Global sensitivity analysis applied to an hydrogenerator

被引：0

作者：

Thu Trang Nguyen ^{[1
]}

Mac, Hung ^{[2
]}

Clenet, Stephane ^{[3
]}

Guillot, Eilin ^{[4
]}

机构：

[1] Univ Lille, Cent Lille, Arts & Metiers ParisTech, HEI,EA 2697,L2EP, F-59000 Lille, France

[2] Technip, Haute Normandie, France

[3] Univ Lille, Cent Lille, Arts & Metiers ParisTech, HEI,HeSam,EA 2697,L2EP, F-59000 Lille, France

[4] EDF R&D, Dept THEMIS, F-91120 Palaiseau, France

来源：

2016 IEEE CONFERENCE ON ELECTROMAGNETIC FIELD COMPUTATION (CEFC) | 2016年

关键词：

uncertainty quantification; electrical machine; Sobol indices; least angle regression;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In this communication, a methodology based on a stochastic approach is proposed in order to characterize the effect of imperfections on the dimensions of a rotating electrical machine on on the time evolution of the signal of magnetic flux sensors. The methodology is based on an approximation of sparse polynomial chaos basis and Sobol indices to carry out the sensitivity analysis. It appears that this approach enables to segregate the most influential parameters.

引用

页数：1

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