Fault classification in transformer using low frequency component

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dc.contributor.authorJettanasen, Chaiyan
dc.contributor.authorNgaopitakkul, Atthapol
dc.contributor.authorAsfani, Dimas Anton
dc.contributor.authorNegara, I. Made Yulistya
dc.date.accessioned2026-08-06T10:18:07Z
dc.date.available2026-08-06T10:18:07Z
dc.date.issued2017-12-13
dc.description.abstractTransform is a vital equipment in power system that need protection system in order to provide fast and correct response when disturbance occur in system. So, this paper proposed internal and external fault classification in Transformer using algorithm based on discrete wavelet transform (DWT). Low frequency component from DWT has been used to create condition for algorithm. The proposed algorithm has been test using transmission line connected to transformer experimental setup on laboratory level. The result from proposed algorithm shown satisfactory result with 100% accuracy in both internal and external fault in transmission line connected transformer system.
dc.identifier.citation2017 IEEE 10th International Workshop on Computational Intelligence and Applications Iwcia 2017 Proceedings, 2017-December, 199-202, 2017
dc.identifier.doi10.1109/IWCIA.2017.8203584
dc.identifier.other2-s2.0-85047200860
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/8056
dc.source2017 IEEE 10th International Workshop on Computational Intelligence and Applications Iwcia 2017 Proceedings
dc.subjectDiscrete Wavelet Transform
dc.subjectFault
dc.subjectTransformer
dc.subjectTransmission Line
dc.titleFault classification in transformer using low frequency component
dc.typeConference Paper

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