Analysis of a printed circuit board with many uncertain variables by sparse polynomial chaos
- Larbi, M.
- Stievano, I.S.
- Canavero, F.G.
- Besnier, Philippe
Publication date
May 2017
DOI Publisher
Institute of Electrical and Electronics Engineers (IEEE)Abstract
International audienceThis communication deals with the uncertainty quantification in high dimensional problems. It introduces a metamodel based on the sparse polynomial chaos for the analysis of a printed circuit board, depending on many uncertain variables. This metamodel allows to estimate statistical quantities of an output with a relative low computational cost compared to Monte Carlo (MC) simulation. Results obtained have been validated by comparison with MC simulation. © 2017 IEEE
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