488 / 2022-03-17 01:08:24
Uncertainty Analysis of Two Gas Measurement DGA Ratios for Improved Diagnostics Applications
DGA,Gas Ratios,PDF
终稿
Brian G. Stewart / University of Strathclyde
Jose Aizpurua / Universidad de Mondragon
Purpose/Aim

Transformer dissolved gas values are generally measured using on-line dissolved gas analyser (DGA) instruments or through laboratory analysis via manually taken oil samples. However, the gas measurement method implies an unavoidable measurement error. For single or individual measured gas level measurements, x and y, with measurement errors sx and sy respectively, the gas ratio R = x/y is assumed to derive from a Gaussian probability density function (PDF), with variance that model the measurement errors. In this scenario, the conventional Gaussian statistical error combination formula is used to calculate the error sR on the estimate of the true value R0 = x/y, which is given by sR = (x2 sy2 + y2 sx2)1/2/y2. In contrast, this paper derives from first principles the correct analytical gas ratio PDF for R = x/y. The correct PDF is demonstrated to be non-Gaussian in nature.

Experimental/Modeling methods

The correct PDF for R is derived and normalised using a = sx/x0, b = sy/y0 and a = R/R0. Example PDF distributions for different values of a and b are shown in Figure 1.

Results/discussion

It is shown that the correct PDF tends towards a conventional Gaussian PDF with maximum likelihood value R0 and variance sR only in the limit when individual gas measurements errors become small e.g. < 5%. For larger measurement errors, the correct PDF is a biased distribution where R is not the maximum likelihood of the PDF. For larger gas measurement variances, the PDF is also shown to have a broader variance than the standard formulae. A de-biasing method to estimate the “true” value R0 in these circumstances is proposed.

Conclusions

For gas measurement errors greater than 5% the error on the ratio R requires to be adjusted. In addition, the value of R requires to be de-biased to provide a more accurate measurement of the true value

Appendix


                
重要日期
  • 会议日期

    09月25日

    2022

    09月29日

    2022

  • 08月15日 2022

    提前注册日期

  • 09月10日 2022

    报告提交截止日期

  • 11月10日 2022

    注册截止日期

  • 11月30日 2022

    初稿截稿日期

  • 11月30日 2022

    终稿截稿日期

主办单位
IEEE DEIS
承办单位
Chongqing University
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