• DocumentCode
    3629320
  • 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
  • fYear
    2008
  • Firstpage
    1
  • Lastpage
    5
  • 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"
  • Publisher
    ieee
  • Conference_Titel
    Electromagnetic Compatibility, 2008. EMC 2008. IEEE International Symposium on
  • ISSN
    2158-110X
  • Print_ISBN
    978-1-4244-1699-8
  • Electronic_ISBN
    2158-1118
  • Type

    conf

  • DOI
    10.1109/ISEMC.2008.4652151
  • Filename
    4652151