Internal Fault Classification Algorithm in Power Transformer Based on Discrete Wavelet Transform and Fuzzy Logic

Simple item page
dc.contributor.authorAnanwattanaporn, Santipont
dc.contributor.authorLeelajindakrairerk, Monthon
dc.contributor.authorJettanasen, Chaiyan
dc.contributor.authorPothisarn, Chaichan
dc.contributor.authorNgaopitakkul, Atthapol
dc.contributor.authorAsfani, Dimas Anton
dc.date.accessioned2026-08-06T10:17:54Z
dc.date.available2026-08-06T10:17:54Z
dc.date.issued2017-11-15
dc.description.abstractThis paper proposed classification algorithm that combination of wavelet transform and fuzzy logic to classifying the internal fault type in power transform. The decision algorithm process, a structure of the fuzzy logic consists of 4 inputs and 1 output. The maximum ratio of DWT at & #xbc; cycle of phase A, B, C is performed as input variables while the output variables are designated corresponding to various types of internal faults. The 50 MVA, 115/23 kV three-phase power transformer has been modelled and simulate to evaluate the performance of proposed algorithm. The results show that the proposed algorithm gives satisfactory results, however, the overall accuracy indicates that this algorithm requires the further improvement.
dc.identifier.citationProceedings 2017 6th Iiai International Congress on Advanced Applied Informatics Iiai Aai 2017, 886-891, 2017
dc.identifier.doi10.1109/IIAI-AAI.2017.204
dc.identifier.other2-s2.0-85040549044
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/8002
dc.sourceProceedings 2017 6th Iiai International Congress on Advanced Applied Informatics Iiai Aai 2017
dc.subjectDiscrete Wavelet Transform
dc.subjectFuzzy Logic
dc.subjectInternal Fault
dc.subjectPower Transformer
dc.titleInternal Fault Classification Algorithm in Power Transformer Based on Discrete Wavelet Transform and Fuzzy Logic
dc.typeConference Paper

Files

Collections

Research