Discrimination of magnetizing inrush and internal fault currents based on stockwell transform and ANN approach for transformer protection

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dc.contributor.authorÖzgönenel, Okan
dc.contributor.authorTerzi, Ümit Kemalettin
dc.contributor.authorAkar, Onur
dc.contributor.authorKurt, Ünal
dc.date.accessioned2024-06-13T20:18:28Z
dc.date.available2024-06-13T20:18:28Z
dc.date.issued2019
dc.departmentMeslek Yüksekokulu, Gedik Meslek Yüksekokulu, Elektrik Programı
dc.description11th International Conference on Electrical and Electronics Engineering (ELECO) -- November 28-30, 2019 -- Bursa, Turkey
dc.description.abstractIn this study, Stockwell transform and artificial neural network were used in determining the inrush current and the internal current fault based on the power transformer protection. The S-transform is a robust transform that incorporates the time and frequency characteristics used in the analysis of non-stationary short term transient signals. It is used for pattern recognition for distinction between internal faults and inrush current. Time-frequency images were obtained by using S-transform, and the obtained images were observed to be different in internal faults and inrush current. The feature extraction is based on statistical methods, standard deviation and average value, the classification process was performed with the multilayer feed forward artificial neural network. The classification performance is calculated at a hundred percent accuracy.
dc.description.sponsorshipChamber of Electrical Engineers of Turkey ; Bursa Uludag University ; Istanbul Technical University ; IEEE Türkiye Section
dc.identifier.doi10.23919/eleco47770.2019.8990377
dc.identifier.endpage100
dc.identifier.scopus2-s2.0-85080893334
dc.identifier.scopusqualityN/A
dc.identifier.startpage96
dc.identifier.urihttps://doi.org/10.23919/eleco47770.2019.8990377
dc.identifier.urihttps://hdl.handle.net/11501/1389
dc.identifier.wosWOS:000552654100020
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorAkar, Onur
dc.institutionauthorid0000-0001-9695-886X
dc.language.isoen
dc.publisherIEEE
dc.relation.ispartof11th International Conference on Electrical and Electronics Engineering (ELECO)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectArtificial Neural Network
dc.subjectMagnetizing Inrush Current
dc.subjectStockwell Transform
dc.subjectTransformer
dc.titleDiscrimination of magnetizing inrush and internal fault currents based on stockwell transform and ANN approach for transformer protection
dc.typeConference Object

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