A new approach to the analysis of water treeing using feature extraction of vented type water tree images

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dc.authorid0000-0002-3399-9346
dc.contributor.authorKarhan, Mustafa
dc.contributor.authorÇakır, Musa Faruk
dc.contributor.authorUğur, Mukden
dc.date.accessioned2021-04-05T07:29:52Z
dc.date.available2021-04-05T07:29:52Z
dc.date.issued2021
dc.departmentTAÜ, Fen Bilimleri Enstitüsü, Robotlar ve Akıllı Sistemler Ana Bilim Dalı Koleksiyonuen_US
dc.description.abstractIn this study, vented type water trees were initiated and grown in laboratory environment. A smart test platform was used to accelerate the initiation and growth of vented type water trees. 6 kV/4 kHz voltage was applied to the specimens to initiate and grow water trees. Mel-frequency cepstral coefficients of the vented type water tree images are obtained after 2 h and 10 h of aging respectively. The insignificant regions in the vented type water tree images were removed by using morphological filtering method before MFCC feature extraction. Finally, the statistical values of these features were analyzed. Scatter plots of the standard deviations and mean values of the cepstral coefficients were plotted. As expected, it has been observed that the points in the scatter plot are clustered in a certain area. MFCC is a popular and frequently used feature extraction method in speech recognition, however there are some studies which employs MFCC as a successful feature extraction method in image processing applications. This study provides a new approach to the analysis of vented water treeing using image processing techniques. The other new approach is using MFCC as a feature extraction method in microscopic water tree images.
dc.identifier.citationKarhan, M., Çakır, M. F., & Uğur, M. (2021). A New Approach to the Analysis of Water Treeing Using Feature Extraction of Vented Type Water Tree Images. Journal of Electrical Engineering & Technology.
dc.identifier.doi10.1007/s42835-021-00667-y
dc.identifier.issn2093-7423
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-85100706679
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://hdl.handle.net/20.500.12846/571
dc.identifier.volume16en_US
dc.identifier.wosWOS:000616052300004
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorUğur, Mukden
dc.language.isoen
dc.publisherSpringer
dc.relation.ispartofJournal of Electrical Engineering & Technology
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectWater Treeen_US
dc.subjectImage Processingen_US
dc.subjectMFCC (mel-frequency cepstral coefcients)en_US
dc.subjectFeature Extractionen_US
dc.subjectWasserbaum Bildverarbeitungen_US
dc.subjectMFCC (Mel-Frequenz-Cepstralkoeffizienten)en_US
dc.subjectGörüntü İşlemeen_US
dc.titleA new approach to the analysis of water treeing using feature extraction of vented type water tree images
dc.typeArticle

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