Global sensitivity analysis applied to an hydrogenerator

descriptionPublicationkeyboard_double_arrow_right Article 01 Nov 2016Publisher:IEEEJournal:2016 IEEE Conference on Electromagnetic Field Computation (CEFC)

Authors: Stephane Clenet; Thu Trang Nguyen; Hung Mac; Eilin Guillot;

doi: 10.1109/cefc.2016.7816424

Global sensitivity analysis applied to an hydrogenerator

- Summary
- Metrics

Abstract

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.

Related Organizations

University of Lille
France
École Centrale de Lille
France
Laboratoire dElectrotechnique et dElectronique de Puissance de Lille
Arts et Métiers ParisTech
France
Technip
Germany

View all View all

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average