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A novel visualisation technique for dissolved gas analysis datasets–A case study

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dc.contributor.authorFonseka, H. A
dc.contributor.authorHettiwatte, S. N
dc.contributor.authorLee, G
dc.date.accessioned2022-01-13T08:58:06Z
dc.date.available2022-01-13T08:58:06Z
dc.date.issued2013
dc.description.abstractDissolved gas analysis is the most widely used diagnostic test in power transformers. There are established methods used in industry for interpreting DGA results. Among these are the IEEE Key Gas Method, Rogers’ Ratios and the Duval Triangle. However, collectively these methods can lead to conflicting results or unclassifiable measurements. This paper presents a visualization technique for interpreting DGA results to mitigate these effects, based on Kernel Principal Component Analysis. DGA measurements from more than 200 power transformers are used to validate the approach.en_US
dc.identifier.urihttps://rda.sliit.lk/handle/123456789/674
dc.language.isoenen_US
dc.publisherAustralasian Universities Power Engineering Conferenceen_US
dc.relation.ispartofseriesAustralasian Universities Power Engineering Conference;
dc.subjecttransformersen_US
dc.subjectcondition monitoringen_US
dc.subjectdissolved gas analysisen_US
dc.subjectkey gas methoden_US
dc.subjectRogers’ ratiosen_US
dc.subjectDuval triangleen_US
dc.subjectkernel principal component analysisen_US
dc.titleA novel visualisation technique for dissolved gas analysis datasets–A case studyen_US
dc.typeArticleen_US
dspace.entity.typePublication

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