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PROCEEDINGS PAPER
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dc.contributor.authorPark, TJ-
dc.contributor.authorKim, JW-
dc.contributor.authorKim, SW-
dc.contributor.authorPark, P-
dc.contributor.author박부견-
dc.date.accessioned2016-03-31T12:14:38Z-
dc.date.available2016-03-31T12:14:38Z-
dc.date.issued2004-01-
dc.identifier.citationKEY ENGINEERING MATERIALS-
dc.identifier.citationv.270-273-
dc.identifier.citationpp.996-1001-
dc.identifier.issn1013-9826-
dc.identifier.other2004-OAK-0000004553-
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/17705-
dc.description.abstractA transformer is one of the most important units in the power networks. Thus a breakdown of a transformer faults can cause costly repairs. To avoid this, its reliable operation has great significance and, therefore, the diagnosis system of the transformer is necessitated. The dissolved gas-in-oil analysis (DGA) is very popular diagnostic method, but is not a proper technique to identify mechanical faults. The transformer has a unique transfer function independent of the shape of the input waveform, which can be evaluated through sweep test. This transfer function changes by faults. hi this paper, a new transformer diagnosis algorithm using proposed signal processing and comparison criteria is suggested.-
dc.description.statementofresponsibilityX-
dc.publisherTRANS TECH PUBLICATIONS LTD-
dc.subjecttransformer-
dc.subjectfault diagnosis-
dc.subjecttransfer function method-
dc.subjectspectral analysis-
dc.titleNondestructive fault diagnosis of a transformer using transfer function method-
dc.typePROCEEDINGS PAPER-
dc.contributor.college전자전기공학과-
dc.author.googlePark, TJ-
dc.author.googleKim, JW-
dc.author.googleKim, SW-
dc.author.googlePark, P-
dc.relation.volume270-273-
dc.relation.startpage996-
dc.relation.lastpage1001-
dc.contributor.id10055004-
dc.publisher.locationSZ-
dc.relation.journalKEY ENGINEERING MATERIALS-
dc.relation.indexSCI급, SCOPUS 등재논문-
dc.relation.sciSCI-
dc.collections.nameConference Papers-

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