Student Posters Repository

Random variability of paramaters and imprecision are two significant sources of uncertainty in electromagnetic compatibility(EMC) models. While random variability can be represented by probability distribution functions, imprecision is better accounted for by possibility distribution. As practical situations in EMC models often involve both types of uncertainty, a hybrid approach is used to combine such possibilistic parameters with classical probabilistic parameters described by random variables, so to achieve a comprehensive characterization of uncertainty in model outputs. As an illustrative example, the proposed approach is applied to the estimation of differential mode currents induced in the terminations of a twisted wire pair with an unknown number of twists. The obtained results are compared versus conventional Monte Carlo simulations.