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A new aspect of time-dependent clustering model for non-uniform dielectric TDDB

机译:非均匀介质TDDB时变聚类模型的新方面

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We investigated the time-dependent clustering (TDC) model for time-dependent dielectric breakdown (TDDB) of non-uniform dielectrics and revealed for the first time that the TDC model is a compound Weibull model that is expressed as a superposition of Weibull distributions. The Weibull model has two statistical parameters, scale parameter η and shape parameter β We clarified the precondition that the TDC model holds when term ηβ of the Weibull model is distributed according to an inverse-gamma distribution. By using our finding, we proposed a new method to directly estimate the variations of electric field and effective space from TDDB data. We found that the corresponding electric field distribution is a generalization of extreme value distribution, which is a natural consequence since the lifetime is determined by the maximum value of the electric field.
机译:我们研究了非均匀电介质随时间变化的介电击穿(TDDB)的时间依赖聚类(TDC)模型,并首次揭示了该TDC模型是一个复合的Weibull模型,表示为Weibull分布的叠加。威布尔模型具有两个统计参数,比例参数η和形状参数β我们阐明了当威布尔模型的项ηβ根据反伽马分布分布时,TDC模型成立的前提条件。利用我们的发现,我们提出了一种从TDDB数据直接估算电场和有效空间变化的新方法。我们发现相应的电场分布是极值分布的一般化,这是自然的结果,因为寿命由电场的最大值决定。

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