Adaptive unscented transform for uncertainty quantification in EMC large-scale systems. Issue 3 (29th April 2014)

• Record Type: Journal Article
• Authors: Ferber, Moises; Vollaire, Christian; Krähenbühl, Laurent; Antônio Vasconcelos, João
• Editors: Luc Dupré and Dr Guillaume Crevecoeur, Professor
• Is Part Of: Compel. Volume 33:Issue 3(2014)
• Page Start: 914
• Page End: 926
• Publication Date: 2014-04-29
• Subjects: Sensitivity analysis -- Electromagnetic compatability -- Uncertainty estimation -- Power devices; Electrical engineering -- Data Processing -- Periodicals; Electrical engineering -- Mathematics -- Periodicals; Electrical engineering -- Periodicals; Electronics -- Data Processing -- Periodicals; Electronics -- Mathematics -- Periodicals; 621.3
• DOI: 10.1108/COMPEL-10-2012-0212
• Languages: English
• ISSNs: 0332-1649

Abstract

Abstract : Purpose: – The purpose of this paper is to introduce a novel methodology for uncertainty quantification in large-scale systems. It is a non-intrusive approach based on the unscented transform (UT) but it requires far less simulations from a EM solver for certain models. Design/methodology/approach: – The methodology of uncertainty propagation is carried out adaptively instead of considering all input variables. First, a ranking of input variables is determined and after a classical UT is applied successively considering each time one more input variable. The convergence is reached once the most important variables were considered. Findings: – The adaptive UT can be an efficient alternative of uncertainty propagation for large dimensional systems. Originality/value: – The classical UT is unfeasible for large-scale systems. This paper presents one new possibility to use this stochastic collocation method for systems with large number of input dimensions.