High Power Laser and Particle Beams, Volume. 33, Issue 5, 053002(2021)

Modeling and statistical analysis of distribution parameters of random cable bundles based on image recognition technology

Fan Rong1, Longquan Zhong2, Qiang Liu3, Liping Yan1, and Xiang Zhao1
Author Affiliations
  • 1College of Electronic Information, Sichuan University, Chengdu 610064, China
  • 2Institute of Applied Electronics, CAEP, Mianyang 621900, China
  • 3Beijing Institute of Applied Physics and Computational Mathematics, Beijing 100088, China
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    In this paper, a modeling method of actual bending random bundled wire harness is proposed. Firstly, based on image recognition technology, the three-dimensional coordinates of bending wire harness axis are reconstructed by using two photos of actual wire harness in side view and top view; then the random bundled wire harness is realized based on random transfer path method. Based on this modeling method, this paper analyzes the statistical characteristics of distribution parameters of bending random wire harness by Monte Carlo simulation, and finds that the variation trend of self inductance, mutual inductance and mutual capacitance along the line is consistent with the variation trend of wire harness height, while the trend of self capacitance is opposite; the coefficient of variation of self capacitance, self inductance and mutual inductance has negative correlation with wire harness height; the bundling randomness is not obvious It will change the mean value of self inductance and self capacitance, but reduce the mean value of mutual capacitance and mutual inductance.

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    Fan Rong, Longquan Zhong, Qiang Liu, Liping Yan, Xiang Zhao. Modeling and statistical analysis of distribution parameters of random cable bundles based on image recognition technology[J]. High Power Laser and Particle Beams, 2021, 33(5): 053002

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    Paper Information

    Category: High Power Microwave Technology

    Received: Jan. 5, 2021

    Accepted: --

    Published Online: Jun. 24, 2021

    The Author Email:

    DOI:10.11884/HPLPB202133.210007

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