• DocumentCode
    126154
  • Title

    Statistical characterization of line-imbalance in differential lines

  • Author

    Xinglong Wu ; Yuehong Yang ; Grassi, Flavia ; Spadacini, Giordano ; Pignari, Sergio A.

  • Author_Institution
    State Key Lab. of Electr. Insul. & Power Equip., Xi´An Jiaotong Univ., Xi´An, China
  • fYear
    2014
  • fDate
    16-23 Aug. 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this work, multi-conductor transmission line modeling and modal analysis are combined to develop a probabilistic model for the characterization of the unwanted common-mode (CM) voltages across the terminations of a differential line by possible imbalance of the wiring structure. Estimates for the probability density function of the transfer ratio between the differential-mode signal source and the theoretically null CM voltages induced at line terminations are cast in closed form as a function of the line geometrical parameters. The obtained predictions, validated versus Monte-Carlo simulations, are then used for a quantitative comparison with unwanted CM voltages due to imbalance of the line terminal networks.
  • Keywords
    modal analysis; multiconductor transmission lines; probability; statistical analysis; transmission line theory; Monte-Carlo simulations; differential lines; differential-mode signal source; line geometrical parameter function; line terminal networks; line-imbalance; modal analysis; multiconductor transmission line modeling; null CM voltages; probabilistic model; probability density function; statistical characterization; transfer ratio; unwanted common-mode voltage characterization; wiring structure; Analytical models; Electromagnetic compatibility; Impedance; Probability density function; Transfer functions; Wires; Wiring;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    General Assembly and Scientific Symposium (URSI GASS), 2014 XXXIth URSI
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/URSIGASS.2014.6929519
  • Filename
    6929519