Uncertainty Analysis of Two Gas Measurement DGA Ratios for Improved Diagnostics Applications
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摘要
This paper formulates the exact analytical probability density function (PDF) for the ratio of two independent dissolved gas analysis (DGA) measurements that include individual gas measurement errors. It is demonstrated that for small DGA gas measurement errors, the correct two-gas ratio PDF approaches a conventional Gaussian distribution. As the measurement accuracy decreases, the ratio PDF becomes non-Gaussian with the maximum likelihood value of the PDF deviating from the true underlying value. For larger errors, the maximum likelihood estimate of the gas ratio deviates significantly from presumed Gaussian statistics. A method for de-biasing measured gas ratio values is presented and a simple application is used to demonstrate the proposed approach.
关键词
Dissolved gas analysis;Measurement errors;Gas ratios;Unbiasing
报告人
Brian G. Stewart
Professor University of Strathclyde

Brian Stewart is currently Professor within the High Voltage Technologies (HVT) Research Group at the University of Strathclyde. His research interests focus on electrical condition monitoring, partial discharge, insulation diagnostics, HV asset management, data analytics and communication systems. His professional affiliations are CEng, MIET and MIEEE.  He is currently serving as President of the IEEE Dielectrics and Electrical Insulation Society (DEIS) for 2022.

稿件作者
Brian G. Stewart University of Strathclyde
Jose Aizpurua Universidad de Mondragon
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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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