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首页> 外文期刊>IEEE Transactions on Dielectrics and Electrical Insulation >Adequacy of dual-variable Weibull failure distribution for oil-impregnated paper under pulsating DC voltage
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Adequacy of dual-variable Weibull failure distribution for oil-impregnated paper under pulsating DC voltage

机译:脉动直流电压下油浸纸双变量威布尔破坏分布的充分性

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This paper presents an experimental work investigating the failure data of oil-impregnated paper under pulsating DC voltage. The failure data of the oil-impregnated paper specimens were obtained through constant voltage stress tests; the Weibull distribution was used to estimate the statistical distribution of failure data. The exponential function (EF) and the inverse power function (IPF) were used to modify the Weibull distribution of failure data, so as to obtain two dual-variable Weibull failure distributions (WFDs), which were used to analyze failure data of oil-paper specimens obtained under pulsating DC and individual DC and AC voltages. Their adequacies were evaluated by using failure data obtained through the constant stress tests under various voltages. Both EF-modified and IPF-modified WFDs show more adequacy for failure data of oil-paper insulation under DC and pulsating DC voltages than AC voltages. The EF-modified WFD was more adequate than IPF-modified WFD in estimating the statistical distribution of failure data.
机译:本文提出了一项实验工作,研究在脉动直流电压下浸油纸的失效数据。通过恒压应力测试获得了含油纸样品的破坏数据。 Weibull分布用于估计故障数据的统计分布。使用指数函数(EF)和逆幂函数(IPF)修改失效数据的Weibull分布,从而获得两个双变量的Weibull失效分布(WFD),用于分析油的失效数据。在脉动DC以及单独的DC和AC电压下获得的纸样。通过使用在各种电压下通过恒定应力测试获得的失效数据来评估它们的充分性。 EF改性和IPF改性的WFD都显示出在直流和脉动DC电压下比交流电压更适合油纸绝缘的故障数据。在估计故障数据的统计分布方面,EF修改的WFD比IPF修改的WFD更合适。

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