Application of support vector machines algorithm for discriminating between external fault and internal winding fault in power transformer

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dc.contributor.authorNgaopitakkul, Atthapol
dc.contributor.authorJettanasen, Chaiyan
dc.contributor.authorLeelajindakrairerk, Monthon
dc.contributor.authorPothisarn, Chaichan
dc.contributor.authorSuechoey, Boonlert
dc.date.accessioned2026-08-06T10:09:36Z
dc.date.available2026-08-06T10:09:36Z
dc.date.issued2014-02-04
dc.description.abstractThe differential relaying principle is used for protection of medium and large power transformers. In the past decade, several decision algorithms have different solutions and techniques. This paper proposes a new technique using discrete wavelet transform (DWT) and support vector machines (SVM) to classify and discriminate between external fault and internal fault in power transformer. The DWT is used to detect the high frequency components from fault signals. The variations of first scale high frequency component that detects fault are used as input for the SVM. The proposed method gives satisfactory accuracy, and will be very useful in the development of a modern protection scheme for electrical power transmission systems. © 2014 ICIC International.
dc.identifier.citationIcic Express Letters, 8(3), 893-899, 2014
dc.identifier.issn1881803X
dc.identifier.other2-s2.0-84893177249
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/5703
dc.sourceIcic Express Letters
dc.subjectDifferential relay
dc.subjectPower transformer
dc.subjectSupport vector machines
dc.subjectWavelet transform
dc.titleApplication of support vector machines algorithm for discriminating between external fault and internal winding fault in power transformer
dc.typeArticle

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