Fault detection of washing machine with discrete wavelet methods

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dc.authorid0000-0002-1122-4558
dc.authorid0000-0001-8253-6412
dc.authorid0000-0002-4657-6617
dc.authorscopusid16229256000
dc.authorscopusid56202469300
dc.authorscopusid35367655300
dc.authorscopusid7005822797
dc.authorwosidYilmaz, Ozgur/D-4760-2019
dc.authorwosidKARABEYOĞLU, Sencer Süreyya/AAC-2934-2021
dc.authorwosidAKINCI, Tahir Cetin/AAB-3397-2021
dc.contributor.authorAkıncı, Tahir Çetin
dc.contributor.authorKarabeyoğlu, Sencer Süreyya
dc.contributor.authorYılmaz, Özgür
dc.contributor.authorŞeker, Serhat
dc.date.accessioned2022-05-11T14:26:44Z
dc.date.available2022-05-11T14:26:44Z
dc.date.issued2014
dc.departmentFakülteler, Çorlu Mühendislik Fakültesi, Makine Mühendisliği Bölümü
dc.description.abstractIn the last decade, a new mathematical method has allowed scientists and engineers to view the details of time varying and transient phenomena that are not possible through conventional tools. This invention, called wavelet transform, has created revolutionary changes in the areas of signal processing, and image compression. In this study, both properly working and fault washing machine is distinguished by using discrete wavelet analysis and statistical analysis. The result of statistical analysis to distinguish the properties of both machines has been quite successful. Based on the analysis, particular energy levels are important to distinguish the machines. All the dynamics and control of electrical machines and analysis is necessary for effective control. In the study vibration dynamics of the washing machine was analyzed.
dc.identifier.doi10.5755/j01.mech.20.2.6943
dc.identifier.endpage182
dc.identifier.issn1392-1207
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-84902291056
dc.identifier.scopusqualityQ4
dc.identifier.startpage177
dc.identifier.urihttps://doi.org/10.5755/j01.mech.20.2.6943
dc.identifier.urihttps://hdl.handle.net/20.500.11776/6576
dc.identifier.wosWOS:000334673300009
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorKarabeyoğlu, Sencer Süreyya
dc.language.isoen
dc.publisherKaunas Univ Technol
dc.relation.ispartofMechanika
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectvibration
dc.subjectwashing machine
dc.subjectdiscrete wavelet analysis
dc.subjectdata analysis
dc.subjectFeature-Extraction
dc.subjectMotors
dc.titleFault detection of washing machine with discrete wavelet methods
dc.typeArticle

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