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Feature extraction of partial discharge signals using the wavelet packet transform and classification with a probabilistic neural network

dc.contributor.authorEvagorou, D.en
dc.contributor.authorKyprianou, Andreasen
dc.contributor.authorLewin, P. L.en
dc.contributor.authorStavrou, A.en
dc.contributor.authorEfthymiou, V.en
dc.contributor.authorMetaxas, A. C.en
dc.contributor.authorGeorghiou, George E.en
dc.creatorEvagorou, D.en
dc.creatorKyprianou, Andreasen
dc.creatorLewin, P. L.en
dc.creatorStavrou, A.en
dc.creatorEfthymiou, V.en
dc.creatorMetaxas, A. C.en
dc.creatorGeorghiou, George E.en
dc.date.accessioned2019-04-08T07:45:49Z
dc.date.available2019-04-08T07:45:49Z
dc.date.issued2010
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/43402
dc.sourceIET Science, Measurement and Technologyen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-78651500131&doi=10.1049%2fiet-smt.2009.0023&partnerID=40&md5=9aa5504dda0b4493e66ab7d0d6509b09
dc.titleFeature extraction of partial discharge signals using the wavelet packet transform and classification with a probabilistic neural networken
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.1049/iet-smt.2009.0023
dc.description.volume4
dc.description.issue3
dc.description.startingpage177
dc.description.endingpage192
dc.author.facultyΠολυτεχνική Σχολή / Faculty of Engineering
dc.author.departmentΤμήμα Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών / Department of Electrical and Computer Engineering
dc.type.uhtypeArticleen
dc.source.abbreviationIET Sci.Meas.Technol.en
dc.contributor.orcidGeorghiou, George E. [0000-0002-5872-5851]
dc.gnosis.orcid0000-0002-5872-5851


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