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dc.contributor.authorAizpurua Unanue, Jose Ignacio
dc.contributor.otherStewart, Brian G.
dc.date.accessioned2023-01-16T10:41:27Z
dc.date.available2023-01-16T10:41:27Z
dc.date.issued2022
dc.identifier.isbn978-1-6654-0750-2en
dc.identifier.otherhttps://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=170574en
dc.identifier.urihttps://hdl.handle.net/20.500.11984/5954
dc.description.abstractThis 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 debiasing measured gas ratio values is presented and a simple application is used to demonstrate the proposed approach.en
dc.language.isoengen
dc.publisherIEEEen
dc.rights© 2022 IEEEen
dc.subjectMeasurement errorsen
dc.subjectMaximum likelihood estimationen
dc.subjectuncertaintyen
dc.subjectDensity measurementen
dc.subjectMeasurement uncertaintyen
dc.subjectHigh-voltage techniquesen
dc.subjectProbability density functionen
dc.titleUncertainty Analysis of Two Gas Measurement DGA Ratios for Improved Diagnostics Applicationsen
dc.typeinfo:eu-repo/semantics/conferenceObjecten
dcterms.accessRightsinfo:eu-repo/semantics/embargoedAccessen
dcterms.source2022 IEEE International Conference on High Voltage Engineering and Applications (ICHVE)en
dc.description.versioninfo:eu-repo/semantics/acceptedVersionen
local.contributor.groupTeoría de la señal y comunicacioneses
local.description.peerreviewedtrueen
local.identifier.doihttps://doi.org/10.1109/ICHVE53725.2022.9961491en
local.embargo.enddate2024-12-31
local.contributor.otherinstitutionhttps://ror.org/00n3w3b69es
oaire.format.mimetypeapplication/pdf
oaire.file$DSPACE\assetstore


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