Uncertainty analysis of two gas measurement DGA ratios for improved diagnostics applications
Stewart, B. G. and Aizpurua, J. I. (2022) Uncertainty analysis of two gas measurement DGA ratios for improved diagnostics applications. In: International Conference on High Voltage Engineering, 2022-09-25 - 2022-09-29, Chongqing.
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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.
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Item type: Conference or Workshop Item(Paper) ID code: 82551 Dates: DateEvent25 September 2022Published10 August 2022AcceptedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering Depositing user: Pure Administrator Date deposited: 04 Oct 2022 14:32 Last modified: 11 Nov 2024 17:07 URI: https://strathprints.strath.ac.uk/id/eprint/82551