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Modeling of Breakdown Voltage Behaviour of Leatherite Paper in the presence of Void using Artificial Neural Network

机译:使用人工神经网络在空白存在下抛售纸张击穿电压特性的建模

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This paper presents the modeling of Breakdown Voltage (BV) for Leatherite Paper of different thicknesses with artificially created voids of different sizes using Artificial Neural Network (ANN). The study is essentially based on Partial Discharge (PD) mechanism occurring under step-stress condition. It was found in this study that the ANN seems to estimate the breakdown voltage within a mean absolute error of 1.13% for the data sets different from those of training data sets; however, they are lying within the range of training data sets.
机译:本文介绍了使用人工神经网络(ANN)的不同尺寸的不同厚度的不同厚度的批量电压(BV)的建模。该研究基本上基于在阶梯应力条件下发生的局部放电(PD)机制。在这项研究中发现,ANN似乎估计与培训数据集不同的数据集的平均绝对误差内的击穿电压;但是,它们在培训数据集的范围内。

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