Classification of power quality disturbances based on s-transform and image processing techniques

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dc.contributor.authorUyar, Murat
dc.contributor.authorKaya, Yilmaz
dc.contributor.authorAtas, Musa
dc.date.accessioned2024-12-24T19:09:45Z
dc.date.available2024-12-24T19:09:45Z
dc.date.issued2013
dc.departmentSiirt Üniversitesi
dc.description2013 21st Signal Processing and Communications Applications Conference, SIU 2013 -- 24 April 2013 through 26 April 2013 -- Haspolat -- 98109
dc.description.abstractThis paper presents a method that combines discrete S-transform (DST) time-frequency distribution (TFD) and local binary pattern (LBP) based image analysis technique for classifying power quality (PQ) disturbances. The purpose of this combination is to extract discriminative features by utilizing from both capability of generating the compact TFD of a nonstationary signal and the efficient image representation capability of LBP. In the proposed method, DST based TFDs of PQ disturbance signals are considered as 2-D images. LBP histograms are used to extract the features from TF images. Initially, the uniform patterns in TF images are obtained by the LBP operator. Next, the occurrence histograms of these patterns are used to produce representative feature vectors that can capture the unique and salient characteristics of each disturbance. The classification performance of the proposed method is evaluated through total 2400 disturbance signals. The experimental results have shown that the rate of correct classification is about 98 % for the different PQ disturbances. © 2013 IEEE.
dc.identifier.doi10.1109/SIU.2013.6531327
dc.identifier.isbn978-146735562-9
dc.identifier.scopus2-s2.0-84880859655
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org10.1109/SIU.2013.6531327
dc.identifier.urihttps://hdl.handle.net/20.500.12604/3733
dc.indekslendigikaynakScopus
dc.language.isotr
dc.relation.ispartof2013 21st Signal Processing and Communications Applications Conference, SIU 2013
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241222
dc.subjectImage processing
dc.subjectLocal binary pattern
dc.subjectPower quality disturbances
dc.subjectS-transform
dc.titleClassification of power quality disturbances based on s-transform and image processing techniques
dc.title.alternativeGüç kalitesi bozucularinin s-dönüsümü ve görüntü isleme tekniklerine dayali olarak siniflandirilmas
dc.typeConference Object

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