This paper deals with the advanced integration of uncertainties in electromagnetic interferences (EMI) and electromagnetic compatibility (EMC) problems. In this context, the Monte Carlo formalism may provide a reliable reference to proceed to statistical assessments. After all, other less expensive and efficient techniques have been implemented more recently (the unscented transform and stochastic collocation methods for instance) and will be illustrated through uncertain EMC problems. Finally, we will present how the use of sensitivity analysis techniques may offer an efficient complement to rough statistical or stochastic studies
A stochastic approach is presented to statistically characterise uncertainties in electromagnetic in...
This thesis presents methodologies for the efficient assessment of the impact of statistical variabi...
De nos jours, la plupart des analyses CEM d’équipements et systèmes électroniques sont basées sur de...
This paper deals with the advanced integration of uncertainties in electromagnetic interferences (EM...
We discuss computationally efficient ways of accounting for the impact of uncertainty, e. g., lack o...
The stochastic computation of electromagnetic (EM) problems is a relatively new topic, yet very impo...
The objective of electromagnetic compatibility (EMC) is to ensure the peaceful coexistence and the p...
Nowadays, most EMC analyzes of electronic or electrical devices are based on deterministic approache...
This dissertation study three different approaches for stochastic electromagnetic fields based on th...
As speed and density of electronic systems continue to increase, uncertainties are becoming signific...
This work described in this thesis develops a computationally efficient approach to performing elect...
Uncertainty analysis methods are widely used in today’s Electromagnetic Compatibility (EMC) simulati...
This thesis presents a set of tools and methodologies that perform fast stochastic characterization ...
The uncertainties in various Electromagnetic (EM) problems may present a significant effect on the p...
The usefulness of stochastic methods to efficiently quantify uncertainties in computational models o...
A stochastic approach is presented to statistically characterise uncertainties in electromagnetic in...
This thesis presents methodologies for the efficient assessment of the impact of statistical variabi...
De nos jours, la plupart des analyses CEM d’équipements et systèmes électroniques sont basées sur de...
This paper deals with the advanced integration of uncertainties in electromagnetic interferences (EM...
We discuss computationally efficient ways of accounting for the impact of uncertainty, e. g., lack o...
The stochastic computation of electromagnetic (EM) problems is a relatively new topic, yet very impo...
The objective of electromagnetic compatibility (EMC) is to ensure the peaceful coexistence and the p...
Nowadays, most EMC analyzes of electronic or electrical devices are based on deterministic approache...
This dissertation study three different approaches for stochastic electromagnetic fields based on th...
As speed and density of electronic systems continue to increase, uncertainties are becoming signific...
This work described in this thesis develops a computationally efficient approach to performing elect...
Uncertainty analysis methods are widely used in today’s Electromagnetic Compatibility (EMC) simulati...
This thesis presents a set of tools and methodologies that perform fast stochastic characterization ...
The uncertainties in various Electromagnetic (EM) problems may present a significant effect on the p...
The usefulness of stochastic methods to efficiently quantify uncertainties in computational models o...
A stochastic approach is presented to statistically characterise uncertainties in electromagnetic in...
This thesis presents methodologies for the efficient assessment of the impact of statistical variabi...
De nos jours, la plupart des analyses CEM d’équipements et systèmes électroniques sont basées sur de...