Machine Learning for Predictive Maintenance: Support Vector Machines and Different Kernel Functions

dc.contributor.authorEfeoglu, Ebru
dc.contributor.authorTuna, Gurkan
dc.date.accessioned2024-06-12T11:12:48Z
dc.date.available2024-06-12T11:12:48Z
dc.date.issued2022
dc.departmentTrakya Üniversitesien_US
dc.description.abstractPredictive maintenance relies on machine learning techniques to learn from historical data and also uses live data to analyse failure patterns. Different from conservative maintenance procedures that generally lead to resource wastage, predictive maintenance can offer optimum resource utilisation and allow predict failures before they occur. Machine learning techniques are essential for automated predictive maintenance; therefore, in this paper the use and effectiveness of support vector machines for predictive maintenance is analysed. As the results show, support vector machines achieve the best performance when linear kernel function is used.en_US
dc.identifier.doi10.3103/S1052618822050041
dc.identifier.endpage456en_US
dc.identifier.issn1052-6188
dc.identifier.issn1934-9394
dc.identifier.issue5en_US
dc.identifier.scopus2-s2.0-85139781837en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage447en_US
dc.identifier.urihttps://doi.org/10.3103/S1052618822050041
dc.identifier.urihttps://hdl.handle.net/20.500.14551/23290
dc.identifier.volume51en_US
dc.identifier.wosWOS:000865390300009en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherPleiades Publishing Incen_US
dc.relation.ispartofJournal Of Machinery Manufacture And Reliabilityen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectPredictive Maintenanceen_US
dc.subjectSupport Vector Machinesen_US
dc.subjectKernel Functionsen_US
dc.subjectConfusion Matrixen_US
dc.subjectAccuracyen_US
dc.titleMachine Learning for Predictive Maintenance: Support Vector Machines and Different Kernel Functionsen_US
dc.typeArticleen_US

Dosyalar