Publication:
Fuzzy Logic Application in DGA Methods to Classify Fault Type in Power Transformer

dc.authorscopusid57218590349
dc.authorscopusid35791875600
dc.contributor.authorGenç, S.
dc.contributor.authorKaragöl, S.
dc.date.accessioned2025-12-11T00:22:39Z
dc.date.issued2020
dc.departmentOndokuz Mayıs Üniversitesien_US
dc.department-temp[Genç] Seçil, Department of Electrical and Electronic Engineering, Ondokuz Mayis Üniversitesi, Samsun, Turkey; [Karagöl] Serap, Department of Electrical and Electronic Engineering, Ondokuz Mayis Üniversitesi, Samsun, Turkeyen_US
dc.description.abstractDetection of new faults in the transformer early is very important to prevent accidents and to reduce the related material losses. Dissolved gas analysis (DGA) is widely used for this purpose. There are methods according to different standards for DGA. Conventional methods used in the implementation of DGA are improved by using intelligent systems.In this study, IEC ratio method, one of the classical methods, were used. A intelligent fuzzy-based analysis was done using MATLAB. The results obtained from fuzzy logic and real faults are given in the table and a comparative evaluation of the IEC methods is made. © 2020 IEEE.en_US
dc.identifier.doi10.1109/HORA49412.2020.9152896
dc.identifier.isbn9781728193526
dc.identifier.scopus2-s2.0-85089700582
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/HORA49412.2020.9152896
dc.identifier.urihttps://hdl.handle.net/20.500.12712/36262
dc.identifier.wosqualityN/A
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof-- 2nd International Congress on Human-Computer Interaction, Optimization and Robotic Applications, HORA 2020 -- 2020-06-26 through 2020-06-27 -- Ankara -- 162106en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDissolved Gas Analysisen_US
dc.subjectFuzzy Logicen_US
dc.subjectIEC Methoden_US
dc.subjectTransformer Fault Detectionen_US
dc.subjectTransformer Protectionen_US
dc.titleFuzzy Logic Application in DGA Methods to Classify Fault Type in Power Transformeren_US
dc.typeConference Objecten_US
dspace.entity.typePublication

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