Discriminating among inrush current, external fault and internal fault in power transformer using low frequency components comparison of DWT

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dc.contributor.authorJettanasen, Chaiyan
dc.contributor.authorPothisarn, Chaichan
dc.contributor.authorKlomjit, Jittiphong
dc.contributor.authorNgaopitakkul, Atthapol
dc.date.accessioned2026-08-06T10:05:29Z
dc.date.available2026-08-06T10:05:29Z
dc.date.issued2012-12-01
dc.description.abstractA technique using discrete wavelet transform (DWT) in order to discriminate among inrush current, internal fault, and external fault has been proposed. Daubechies4 (db4) is employed as mother wavelet in order to decompose low frequency components from fault signals. A ratio between per unit differential current and per unit time is calculated and performed as comparison indicator. The results obtained from the proposed technique have good accuracy to discriminating fault in the considered system. © 2012 IEEJ Industry Appl Soc.
dc.identifier.citationIcems 2012 Proceedings 15th International Conference on Electrical Machines and Systems, 2012
dc.identifier.other2-s2.0-84873417888
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/4546
dc.sourceIcems 2012 Proceedings 15th International Conference on Electrical Machines and Systems
dc.subjectDiscrete Wavelet Transform
dc.subjectFault
dc.subjectInrush Current
dc.subjectTransformer
dc.titleDiscriminating among inrush current, external fault and internal fault in power transformer using low frequency components comparison of DWT
dc.typeConference Paper

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