Uncertainty Analysis of Two Gas Measurement DGA Ratios for Improved Diagnostics Applications
ID:424 View Protection:ATTENDEE Updated Time:2022-09-17 01:03:59 Hits:259 Poster Presentation

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Abstract
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.
Keywords
Dissolved gas analysis;Measurement errors;Gas ratios;Unbiasing
Speaker
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.

Submission Author
Brian G. Stewart University of Strathclyde
Jose Aizpurua Universidad de Mondragon
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