Fault Detection at Power Transmission Lines by Extreme Learning Machine

Basit Öğe Kaydı
dc.contributor.authorErtugrul, Omer Faruk
dc.contributor.authorTagluk, M. Emin
dc.contributor.authorKaya, Yilmaz
dc.date.accessioned2024-12-24T19:23:55Z
dc.date.available2024-12-24T19:23:55Z
dc.date.issued2013
dc.departmentSiirt Üniversitesi
dc.description21st Signal Processing and Communications Applications Conference (SIU) -- APR 24-26, 2013 -- CYPRUS
dc.description.abstractWith the increase of energy demand continuous energy transmission gained considerable attention. For a continuous energy transmission, the faulty power transmission line needs to be quickly isolated from the system. In this study, Extreme Learning Machine (ELM) possessing fast learning and high generalization capacity was used for this purpose and it was found as showing a good performance in detecting the faulty transmission line. In the study real fault signals recorded from transmission lines were used. A feature vector was formed from a cycle of the energy signal using relative entropy and classified via ELM. The obtained results were compared with the ones obtained through SVM, YSA, NB, J48 and PART learning techniques and the ones obtained in the previous studies. According the obtained results ELM both in terms of speed and performance was found superior.
dc.identifier.isbn978-1-4673-5563-6
dc.identifier.isbn978-1-4673-5562-9
dc.identifier.issn2165-0608
dc.identifier.scopus2-s2.0-84880904939
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://hdl.handle.net/20.500.12604/5754
dc.identifier.wosWOS:000325005300050
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isotr
dc.publisherIEEE
dc.relation.ispartof2013 21st Signal Processing and Communications Applications Conference (Siu)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241222
dc.subjectcomponent
dc.subjecttransmission line
dc.subjectfault detection
dc.subjectrelative entropy
dc.subjectELM
dc.titleFault Detection at Power Transmission Lines by Extreme Learning Machine
dc.title.alternativeEnerji gletim hatlarinda olugan arizalarin agiri ögrenme makinesi ile tespiti
dc.typeConference Object

Dosyalar

Koleksiyon

WOS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu