Journal of Physics D Applied Physics · 2006 · 84 citations · 21 references
EngineeringElectrical EngineeringMaterials EngineeringStatistical ModelingStochastic ModelingUncertainty QuantificationDielectricsMonte Carlo MethodsMonte Carlo SimulationProbabilistic ModelingProbability DistributionsReliability ModelingBreakdown CharacteristicsBreakdown StrengthDielectric BreakdownElectrical BreakdownElectrical Breakdown StrengthInsulating MaterialsProbability Density FunctionsWeibull Model
In this paper, we investigate the dielectric breakdown data of some insulating materials and focus on the applicability of the two- and three-parameter Weibull distributions. A new distribution function is also proposed. In order to assess the model distribution's trustworthiness, we employ the Monte Carlo technique and, randomly selecting data-subsets from the whole dielectric breakdown data, determine whether the selected probability functions accurately describe the breakdown data. The utility and strength of the proposed expression are illustrated distinctly by the numerical procedure. The proposed expression is shown to be a valuable alternative to the Weibull ones.
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