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

Rong Fan; Zhong Longquan; Liu Qiang; Yan Liping; Zhao Xiang

doi:10.11884/HPLPB202133.210007

Volume 33 Issue 5

May 2021

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Rong Fan, Zhong Longquan, Liu Qiang, et al. 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: 053002. doi: 10.11884/HPLPB202133.210007

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Rong Fan, Zhong Longquan, Liu Qiang, et al. 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: 053002. doi: 10.11884/HPLPB202133.210007

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

doi: 10.11884/HPLPB202133.210007

1.
College of Electronic Information, Sichuan University, Chengdu 610064, China
2.
Institute of Applied Electronics, CAEP, Mianyang 621900, China
3.
Beijing Institute of Applied Physics and Computational Mathematics, Beijing 100088, China

Received Date: 2021-01-05
Rev Recd Date: 2021-03-20

Available Online: 2021-04-10

Publish Date: 2021-05-20

Abstract

Abstract

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.
- wire-bundles,
- random,
- image recognition,
- distributed parameter

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References(20)

References

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