2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) 2017
DOI: 10.1109/ieem.2017.8290251
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Statistical analysis of oil insulation breakdown voltage

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Cited by 4 publications
(6 citation statements)
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“…quantity. Therefore, statistics are being considered to analyse the breakdown voltage (Gupta & Das, 2017). In the current study, a two-parameter Weibull distribution was used to model and analyse the distribution of the breakdown voltage of the prepared solid insulating samples.…”
Section: Sample Preparationmentioning
confidence: 99%
See 3 more Smart Citations
“…quantity. Therefore, statistics are being considered to analyse the breakdown voltage (Gupta & Das, 2017). In the current study, a two-parameter Weibull distribution was used to model and analyse the distribution of the breakdown voltage of the prepared solid insulating samples.…”
Section: Sample Preparationmentioning
confidence: 99%
“…In the current study, a two-parameter Weibull distribution was used to model and analyse the distribution of the breakdown voltage of the prepared solid insulating samples. The probability density function (PDF) and the cumulative distribution functions are given by equation 1 and equation 2, respectively (Gupta & Das, 2017;Yuan et al, 2017).…”
Section: Sample Preparationmentioning
confidence: 99%
See 2 more Smart Citations
“…Gupta and Das [26], Gaussian's probability statistics method with normal and Weibull distribution is applied to study the breakdown voltage of the dielectrics. It shows that silicon as a synthetic ester has the lowest BDV followed by mineral oil then natural ester oil get the highest BDV.…”
Section: Mixing Ratios Of Dielectricsmentioning
confidence: 99%