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This paper introduces a novel statistical method, referred to as the stochastic reduced order model (SROM) method, to predict the variability of cable crosstalk subject to a range of parametric uncertainties. The SROM method is a new member of the family of stochastic approaches to quantify propagated uncertainty in the presence of multiple uncertainty sources. It is nonintrusive, accurate, efficient,...
This paper presents a novel statistical approach, referred to as the stochastic reduced order model (SROM) method, to predict the statistics of crosstalk in the presence of multiple uncertainty sources. In this paper, the cable is modelled using a three-conductor transmission line, and the SROM method is applied to obtain the statistics of crosstalk subject to two independent uncertain sources. Compared...
The crosstalk is a very important aspect of cable EMC (electromagnetic compatibility) performance evaluation. As uncertainties are introduced during cable fabrication and installation process, deterministic prediction methods are not suitable for a good estimation of the cable performance. This paper is focused on predicting the crosstalk of cable bundles by considering the uncertainties introduced...
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