Hand-Assembled Cable Bundle Modeling for Crosstalk and Common-Mode Radiation Prediction

Sun, Shishuang; Liu, Geping; Drewniak, James L.; Pommerenke, David

doi:10.1109/temc.2007.897142

Cited by 78 publications

(35 citation statements)

References 5 publications

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“…First, it is difficult to generate the PDF curves in most uncertainty analysis methods, such as MCM and gPC [1], [2], [6], since the uncertainty analysis results are inevitably in the form of an enormous amount of points. Although curve fitting can be used to simplify the problem, considering the complexity, it is impractical to do curve fitting at every single point.…”

Section: Uncertainty Analysis Results In Emc Simulationmentioning

confidence: 99%

“…In this case, the input parameters of simulation are no longer deterministic, but must be modeled by random variables with properly assigned distributions. However, conventional EMC simulation methods are not capable of dealing with such random inputs; consequently, many uncertainty analysis methods have been presented in recent studies [1], [2] in order to analyze the effects of uncertainty.…”

Section: Introductionmentioning

confidence: 99%

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Validity Evaluation of the Uncertain EMC Simulation Results

Bai

Wang

et al. 2017

IEEE Trans. Electromagn. Compat.

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Uncertainty analysis is widely used in today's electromagnetic compatibility simulations in order to include the variation and tolerance caused by realistic nonidealities. However, previous research has neglected to investigate the validity evaluation of uncertainty analysis results. In this paper, a novel validity evaluation method, named mean equivalent area method (MEAM), is proposed to quantify the difference between the reference data and the simulation results, particularly for validity evaluation of the uncertainty analysis results in computational electromagnetics. Comparing with other existing works or confirmed conclusion in published references, the performance of MEAM is presented. Furthermore, in order to improve both efficiency and accuracy of the uncertainty analysis method (Monte-Carlo method or generalized polynomial chaos method), a scheme based on MEAM is presented to examine whether the uncertainty analysis method has reached convergence. Finally, the selection of the reference data and the limitation of MEAM are illustrated in detail in Section VI.

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Section: Uncertainty Analysis Results In Emc Simulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Validity Evaluation of the Uncertain EMC Simulation Results

Bai

Wang

et al. 2017

IEEE Trans. Electromagn. Compat.

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“…also divided the non-uniform random bundles into n-cascaded segments of a uniform multiconductor transmission line to deal with the random disturbance of the wire positions along hand-assembled Figure 7. Standard deviation of NEXT: analytical versus numerical results cable bundles [16]. At each section, all wire positions obeyed a Gaussian distribution.…”

Section: Segmentation Methodsmentioning

confidence: 99%

Statistical Estimation of Crosstalk for Wiring Harness in Vehicle

Gao

Wang

Gao

et al. 2010

2010 International Conference on Intelligent Computation Technology and Automation

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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.

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“…The experimental method is straightforward, but takes much time and costs a lot. Afterward, the random lines or cables were always modeled first by using the Monte Carlo (MC) method, where the nonuniform transmission lines were generally modeled as n-cascaded segments of a uniform multiconductor transmission line, then the transmission line theory was adopted to compute the terminal voltages of each sample, and statistical values were obtained from the numerical results [3][4][5][6][7]. This method needs large repeated computations and the results are only suitable for the case studied.…”

Section: Introductionmentioning

confidence: 99%

Influence Analysis of Stochastic Translation of Transmission Lines Over Ground

Xie¹,

Wang²,

Li³

et al. 2014

PIER Letters

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Abstract-This paper proposes a method for the quick estimation of the average voltages at terminal loads when the transmission line translate randomly and analyzes the sensitivities of the loads' voltages to the translation. Because nonuniform transmission lines can be approximated as n-cascaded uniform lines, the study of uniform lines is the basis. Based on the transmission-line equations, the equations are derived to estimate the average voltages, the voltage variations, and the sensitivity of the voltage to the random translation when transmission lines have random translation in their cross sections. With these equations, the average voltages at the loads, the probability distributions of the voltage variations, and the sensitivity of the voltage to the random translation can be obtained quickly. A two-wire line over the ground is studied by using the proposed method. The average voltages and the voltage variations' probability distributions agree well with those via the Monte Carlo (MC) method and the proposed method is more efficient. The results show that the sensitivities of the voltages at the loads to the random height increase with the terminal sources but decrease with the height.

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Hand-Assembled Cable Bundle Modeling for Crosstalk and Common-Mode Radiation Prediction

Cited by 78 publications

References 5 publications

Validity Evaluation of the Uncertain EMC Simulation Results

Validity Evaluation of the Uncertain EMC Simulation Results

Statistical Estimation of Crosstalk for Wiring Harness in Vehicle

Influence Analysis of Stochastic Translation of Transmission Lines Over Ground

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