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Communication Dans Un Congrès Année : 2022

Efficient EMC Risk Analysis of PCB Using Iterative Surrogate-Model Enrichment and Morris Sensitivity Analysis

Résumé

This document describes a new methodology for building surrogate model dedicated to EMC analysis of printed circuit boards. Stochastic approaches have recently showed their interests for EMC phenomena simulations because of their ability to replace costly computations. The proposed method is composed of two process stages. The first one is a pre-processing step which consists in filtering inputs that are not significant regarding output variations. The second one consists in an iterative learning technique of the surrogate model avoiding the requirement for prior determination of the sample size. The method is tested from a representative scenario of an EMC problem. The gain in computation time offered by the method makes it possible to build surrogate models more efficiently.
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Dates et versions

hal-03884542 , version 1 (05-12-2022)

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Citer

A. Plot, P. Besnier, B Azanowsky. Efficient EMC Risk Analysis of PCB Using Iterative Surrogate-Model Enrichment and Morris Sensitivity Analysis. International Symposium on Electromagnetic Compatibility (EMC Europe), Sep 2022, Gothenburg, Sweden. ⟨10.1109/EMCEUROPE51680.2022.9901313⟩. ⟨hal-03884542⟩
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