4th International Conference on Power Engineering, Energy and Electrical Drives 2013
DOI: 10.1109/powereng.2013.6635892
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Simplified hybrid PD model in voids: Pattern validation

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Cited by 19 publications
(6 citation statements)
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“…The trigger function W(U i ) is used for checking the fulfilment of the required conditions for a PD event and takes into account the stochastic behavior of the PD phenomena through a Weibull probabilistic function. Simulation results exhibit good agreement with experimental data found in the literature [91]. This model was modified with the inclusion of surface and volume resistances of the bulk of dielectric material for modelling the PD behavior under a voltage stress close to the DC waveform [92].…”
Section: Variable Gap Resistancesupporting
confidence: 74%
“…The trigger function W(U i ) is used for checking the fulfilment of the required conditions for a PD event and takes into account the stochastic behavior of the PD phenomena through a Weibull probabilistic function. Simulation results exhibit good agreement with experimental data found in the literature [91]. This model was modified with the inclusion of surface and volume resistances of the bulk of dielectric material for modelling the PD behavior under a voltage stress close to the DC waveform [92].…”
Section: Variable Gap Resistancesupporting
confidence: 74%
“…It does not return information about position within the total acquisition time. In particular, a spherical monopole placed at a short distance from a rear ground plane was adopted to improve the directional sensitivity of the PASPD system and its behavior is described extensively in [28][29][30][31][32]. Furthermore, no calibration process of the acquired signals is carried out, even though, from previous experiences, the estimated sensitivity of the PASPD system is approximately 10 mV/pC [33].…”
Section: System Based On Antenna Pd Sensormentioning
confidence: 99%
“…The MATLAB/Simulink model (IEC 60270 Standard), which was created in order to simulate the PD, is shown in Figure 8. The circuit consists of [27][28][29][30][31]:…”
Section: Capacitive Modelmentioning
confidence: 99%