Comparative study of statistical breakdown in mineral, synthetic and natural ester oils under AC voltage

V. Dang, A. Beroual, C. Perrier
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引用次数: 16

Abstract

This paper reports on a comparative study of statistical Breakdown Voltage (BDV) in mineral oils, natural esters (vegetable oils) issued from different origins, and one synthetic ester through the measurements of 32 BDV using spherical electrode under AC voltage according to main lines of IEC 60156 specifications. The Normal and Weibull distribution functions are used to analyze and estimate the BDV probability of these oils. The hypothesis testing is then used to select the distribution functions suitability. We mainly analyze the histogram, frequency, mean, standard deviation and estimate the BDV probability of the sample population. The considered liquids are three different mineral oils (MO3', MO4' and MO5), one synthetic ester (SE1) and three different natural esters (VO2, VO3 and VO4). All oil samples were new and treated. It's shown that the measured BDV data follow better Normal than Weibull distribution. Basing on the BDV at the levels of risk 1% and 50% probability for U1% and U50%, the dielectric strength of ester oils, under AC, homogeneous field and small gap, is slightly better compared to mineral oils.
矿物油、合成油和天然酯油在交流电压下统计击穿的比较研究
本文根据IEC 60156标准,采用球形电极在交流电压下测量32个BDV,对矿物油、不同产地的天然酯(植物油)和一种合成酯的统计击穿电压(BDV)进行比较研究。利用正态分布函数和威布尔分布函数分析和估计了这些油的BDV概率。然后使用假设检验来选择分布函数的适宜性。我们主要对样本总体的直方图、频率、均值、标准差进行分析,估计样本总体的BDV概率。所考虑的液体是三种不同的矿物油(MO3', MO4'和MO5),一种合成酯(SE1)和三种不同的天然酯(VO2, VO3和VO4)。所有的油样都是新的并经过处理。结果表明,实测BDV数据服从正态分布优于威布尔分布。基于U1%和U50%风险为1%和50%概率水平下的BDV,在交流、均匀场和小间隙条件下,酯类油的介电强度略好于矿物油。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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