ESD: waveform calculation, field and current of human and simulator ESD

Pommerenke, David; Aidam, Martin

doi:10.1016/s0304-3886(96)00028-9

Cited by 81 publications

(16 citation statements)

References 2 publications

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“…5 shows normalized experimental current maximas compared to normalized calculated maximas of electrostatic charge densities. The values were obtained the following way: For each, voltage peak currents were measured at different arc lengths using 3-GHz bandwidth [1], [2]. Those peak currents were normalized to the largest peak current measured at that voltage and plotted.…”

Section: Electrostatic Considerationmentioning

confidence: 99%

See 1 more Smart Citation

Computer simulation of ESD from voluminous objects compared to transient fields of humans

Jobava

Pommerenke

Karkashadze

et al. 2000

IEEE Trans. Electromagn. Compat.

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Computer simulation of electrostatic discharge (ESD) for simplified objects is described and compared to measured transient fields of human/metal ESD. The simulation algorithm uses the method of moments in time domain, coupled with nonlinear arc resistance model. Transient currents and fields are analyzed from the electromagnetic compatibility (EMC) point of view. Validation of the numerical simulation is done by comparison to experimental data. The simulated structure models the human/metal ESD in its peak current and field values and their derivatives reasonably well.

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Section: Electrostatic Considerationmentioning

confidence: 99%

“…The discharge is associated with strong fields, for example, a 0.7-ns risetime human/metal discharge at 5 kV will cause a magnetic field of approx. 30 A/m and an electric field of 12 kV/m at 0.1 m distance (arc length 0.8 mm) [2]. Such large fields can easily disturb electronic systems.…”

Section: Introductionmentioning

confidence: 99%

Computer simulation of ESD from voluminous objects compared to transient fields of humans

Jobava

Pommerenke

Karkashadze

et al. 2000

IEEE Trans. Electromagn. Compat.

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“…17P-AEF is used for approximation of the measured ESD current derivative [26], as presented in Figure 10, with 17 peaks at the corresponding time moments, denoted by crosses. For one term in each interval, there are 18 unknown parameters.…”

Section: Approximation Of the Measured Esd Current Derivative By Np-aefmentioning

confidence: 99%

Electrostatic discharge currents and their derivatives' approximation by piecewise power-exponential functions

Javor¹,

Lundengård²,

Rančić³

et al. 2018

Turk J Elec Eng & Comp Sci

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An analytically extended function based on power-exponential functions is used in this paper for approximation of electrostatic discharge (ESD) currents and their derivatives. The Marquardt least-squares method (MLSM) is applied for obtaining nonlinear function parameters. IEC 61000-4-2 Standard ESD current is approximated, as well as some measured ESD currents' wave shapes. Power-exponential terms are extended at the local maxima and minima of the represented wave shape, so that this approximation is done from peak to peak. ESD current derivative is approximated using the same procedure in order to obtain the continuous second order derivative of the current, as all piecewise functions are of differentiability class C 1 . Currents and their derivatives are often measured in ESD experiments so that their analytical representation is needed for simulation of ESD phenomena, better definition of standard requirements, and computation of the transient fields and induced effects.

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“…To account for the resulting slightly reduced discharge current and the slower rise time of the discharge current, the arc model developed by Pommerenke and Aidam [13] was implemented in the simulation setup. The arc length as input parameter for the arc model was determined for different CDM voltages using calibration measurements of the CDM tester at a 4 pF capacitance.…”

Section: Cdm Circuit Simulation Setupmentioning

confidence: 99%