Electromagnetic Compatibility Uncertainty, Risk, and Margin Management

Garcia, E.

doi:10.1109/temc.2009.2035108

Cited by 21 publications

(14 citation statements)

References 19 publications

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“…Then, from a state of the art study ( [3]), a detailed EMC physics and risk analysis global approach is given in Fig. 7.…”

Section: A Emc and Risk Analysis Viewed From Industrial Projectmentioning

confidence: 99%

“…In [3], a nine steps methodology based on statistics is fully described and illustrated by a simple but representative EMC failure mode: the failure due to interference resulting from a lightning impact to the terminal equipment of a coaxial wire. The example given in [3] corresponds to sub-systems and elementary equipments arrow of the Fig.…”

Section: A Emc and Risk Analysis Viewed From Industrial Projectmentioning

confidence: 99%

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Statistics use for radiated high frequency failures

Garcia¹

2010

2010 IEEE International Symposium on Electromagnetic Compatibility

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After presenting a global process of EMC (ElectroMagnetic Compatibility) physics and risk analysis, this paper deals with the specific failure mode of radiated high frequencies. For realistic complex systems with partial unavailability of the data, peak amplitude frequency and observable spatial localisation sensibility, we detail the advantages of four main types of statistical results. The potential of using statistics in simulation coupled with experimental tests is also highlighted.

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“…Then, from a state of the art study ( [3]), a detailed EMC physics and risk analysis global approach is given in Fig. 7.…”

Section: A Emc and Risk Analysis Viewed From Industrial Projectmentioning

confidence: 99%

Section: A Emc and Risk Analysis Viewed From Industrial Projectmentioning

confidence: 99%

Statistics use for radiated high frequency failures

Garcia¹

2010

2010 IEEE International Symposium on Electromagnetic Compatibility

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“…As the important connection paths among the inner equipments and modules of the system, the cable network is a main factor to form or introduce electromagnetic interference (EMI). 1,2 Therefore, it is very important to find an accurate and efficient method to predict mutual electromagnetic (EM) coupling effects and responses in these systems. In fact, transient EM analysis is always required during the characterization of coupling effects for further suppressing their impacts.…”

Section: Introductionmentioning

confidence: 99%

EMI effect simulation of braided cable network using a hybrid FDTD method

Luo

Wang

Xia

et al. 2017

Int J Numerical Modelling

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This paper proposes a novel time domain numerical scheme based on a modified finite‐difference time‐domain (FDTD) method for electromagnetic interference (EMI) analysis of braided cable networks. In this method, a reasonable physical boundary condition is constructed by a transfer impedance model, while the spatial fields can be applied by way of adding incentive items into the transmission line equations. Besides, the full‐wave finite‐difference time‐domain(2, 4) method with thin wire model, transmission line equation and the modified nodal analysis are combined in order to solve cable‐interconnect line network transient responses in the problem of field‐line‐circuit union simulation. This method has good agreements with HSPICE. In addition, the method is used successfully in analyzing a cable‐interconnect network with different shielding characteristics.

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“…Results for various applications have been obtained [8][9][10][11][12][13]. Electromagnetic compatibility (EMC) has indeed also been addressed within probabilistic frameworks [14][15][16]. In our recent comparative EMC study [17], a previously developed stochastic electromagnetic source model [18] has been exploited.…”

Section: Introductionmentioning

confidence: 99%

Statistics of polarisation matching

Naus¹,

Zwamborn²

2014

IET Science, Measurement & Technology

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The reception of electromagnetic signals depends on the polarisation matching of the transmitting and receiving antenna. The practical matching differs from the theoretical one because of the noise deterioration of the transmitted and eventually received electromagnetic field. In other applications, the polarisation parameters of the receiving antenna are not known. Both problems are addressed by means of statistical methods, analytical as well as simulation results are obtained. The variation of the noisy matching factor depends mainly on the signal-to-noise ratio. The resulting probability distribution for the polarisation matching factor in case of a stochastic receiver is independent of the phase difference, but strongly affected by the axis ratio of the incident polarised field.

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Electromagnetic Compatibility Uncertainty, Risk, and Margin Management

Cited by 21 publications

References 19 publications

Statistics use for radiated high frequency failures

Statistics use for radiated high frequency failures

EMI effect simulation of braided cable network using a hybrid FDTD method

Statistics of polarisation matching

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