Detection and classification of short-circuit faults on a transmission line using current signal

Basit Öğe Kaydı
dc.authorid0000-0001-6846-8222en_US
dc.authorid0000-0001-9528-7187en_US
dc.contributor.authorÇoban, Melih
dc.contributor.authorTezcan, Süleyman Sungur
dc.date.accessioned2023-07-21T13:29:28Z
dc.date.available2023-07-21T13:29:28Z
dc.date.issued2021en_US
dc.departmentBAİBÜ, Mühendislik Fakültesi, Elektrik Elektronik Mühendisliği Bölümüen_US
dc.description.abstractThis study offers two support vector machine (SVM) models for fault detection and fault classification, respectively. Different short-circuit events were generated using a 154 kV transmission line modeled in MATLAB/Simulink software. Discrete wavelet transform (DWT) is performed on the measured single terminal current signals before fault detection stage. Three level wavelet energy values obtained for each of three-phase currents were used as input features for the detector. After fault detection, half cycle (10 ms) of three-phase current signals was recorded by a 20 kHz sampling rate. The recorded currents signals were used as input parameters for the multi-class SVM classifier. The results of the validation tests have demonstrated that quite a reliable fault detection and classification system can be developed using SVM. The faults generated were used for training and testing of SVM classifiers. An SVM-based classification and detection model was fully implemented in MATLAB software. These models were comprehensively tested under different conditions. The effects of the fault impedance, fault inception angle, mother wavelet and fault location were all investigated. Finally, simulation results verified that the study proposed can be used for fault detection and classification on the transmission line.en_US
dc.identifier.citationCoban, M., & Tezcan, S. S. (2021). Detection and classification of short-circuit faults on a transmission line using current signal. Bulletin of the Polish Academy of Sciences. Technical Sciences, 69(4).en_US
dc.identifier.doi10.24425/bpasts.2021.137630
dc.identifier.endpage9en_US
dc.identifier.issn0239-7528
dc.identifier.issn2300-1917
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-85115095097en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage1en_US
dc.identifier.urihttp://dx.doi.org/10.24425/bpasts.2021.137630
dc.identifier.urihttps://www.webofscience.com/wos/woscc/full-record/WOS:000710204200007
dc.identifier.urihttps://hdl.handle.net/20.500.12491/11333
dc.identifier.volume69en_US
dc.identifier.wosWOS:000710204200007en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorÇoban, Melih
dc.language.isoenen_US
dc.publisherPOLSKA AKAD NAUK, POLISH ACAD SCI, DIV IV TECHNICAL SCIENCES PASen_US
dc.relation.ispartofBulletin of The Polish Academy of Sciences-Technical Sciencesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectTransmission Lineen_US
dc.subjectFault Detectionen_US
dc.subjectFault Classificationen_US
dc.subjectSupport Vector Machineen_US
dc.subjectTransmissionineen_US
dc.subjectFaultdetectionen_US
dc.subjectFaultclassificationen_US
dc.subjectSupportvectormachineen_US
dc.titleDetection and classification of short-circuit faults on a transmission line using current signalen_US
dc.typeArticleen_US

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