Title :
A fast and parallel stroud-based stochastic collocation method for statistical EMI/EMC analysis
Author :
Hakan Bagci;Caglar Yavuz;Abdulkadir C. Yucel;Jan S. Hesthaven;Eric Michielssen
Author_Institution :
Department of Electrical Engineering, University of Michigan, Ann Arbor, 48109, USA
Abstract :
A fast and parallel Stroud-based stochastic collocation method for statistically characterizing electromagnetic interference and compatibility (EMI/EMC) phenomena on loaded multiscale platforms with uncertain system configurations and subject to variable electromagnetic excitations is described. The proposed method uses a previously developed hybrid time domain integral equation based field-cable-circuit to carry out deterministic EMI/EMC simulations permitting the statistical characterization of pertinent observables. The number of simulations required by the proposed method is far fewer than those needed by Monte-Carlo methods. The proposed method is used to characterize cable-induced coupling onto PC cards located in shielding enclosures. Both the hybrid simulator and the stochastic collocation code execute with near-full efficiency on distributed memory clusters.
Keywords :
"Artificial neural networks","Mathematical model","Transmission line matrix methods","Equations","Electromagnetic interference","Couplings","Electromagnetic compatibility"
Conference_Titel :
Electromagnetic Compatibility, 2008. EMC 2008. IEEE International Symposium on
Print_ISBN :
978-1-4244-1699-8
Electronic_ISBN :
2158-1118
DOI :
10.1109/ISEMC.2008.4652151