• DocumentCode
    3195431
  • Title

    Statistical Estimation of Crosstalk for Wiring Harness in Vehicle

  • Author

    Yinhan, Gao ; Ruibao, Wang ; Le, Gao ; Shen, Shen

  • Author_Institution
    Jilin Univ., Changchun, China
  • Volume
    3
  • fYear
    2010
  • fDate
    11-12 May 2010
  • Firstpage
    381
  • Lastpage
    385
  • Abstract
    The crosstalk coupling for wiring harness in vehicle has great influence on electromagnetic compatibility (EMC), it is necessary to estimate it at the beginning of EMC design of system. The relative position between wires in harness is random, the deterministic methods based on constant harness geometry are inappropriate to estimate crosstalk, while the statistical methods can reflect the actual crosstalk coupling, reveal random nature of crosstalk. The paper described three kinds of statistical models of crosstalk, and each model has its own characteristic and scope of application: the worst case method is appropriate to find potential crosstalk quickly, both probabilistic model and segmentation method catch the quantitative statistical characteristics of crosstalk i.e. mean value and standard deviation, the segmentation method can estimate the crosstalk in non-uniform wiring harness particularly.
  • Keywords
    automobiles; electromagnetic compatibility; statistical analysis; wiring; EMC design; constant harness geometry; crosstalk coupling; electromagnetic compatibility; probabilistic model; segmentation method; statistical estimation; vehicle; wiring harness; Crosstalk; Electromagnetic compatibility; Electromagnetic coupling; Laplace equations; Maxwell equations; Statistical analysis; Time domain analysis; Vehicles; Wires; Wiring; crosstalk; electromagnetic compatibility; statistical estimation; vehicle; wiring harness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4244-7279-6
  • Electronic_ISBN
    978-1-4244-7280-2
  • Type

    conf

  • DOI
    10.1109/ICICTA.2010.611
  • Filename
    5522869