Quality Determination by Using Support Vector Machine in Gas Welding Applications

Basit Öğe Kaydı
dc.authorid0000-0002-1529-8765en_US
dc.contributor.authorAvcı, Adem
dc.contributor.authorAcır, Nurettin
dc.contributor.authorGunes, Emrah
dc.contributor.authorTuran, Sertan
dc.date.accessioned2021-03-20T20:12:47Z
dc.date.available2021-03-20T20:12:47Z
dc.date.issued2019
dc.departmentBTÜ, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik Elektronik Mühendisliği Bölümüen_US
dc.description27th Signal Processing and Communications Applications Conference (SIU) -- APR 24-26, 2019 -- Sivas Cumhuriyet Univ, Sivas, TURKEYen_US
dc.description.abstractThe robots used in the manufacturing industry and the sensors from the automation system can be used to automatically perform quality checks. Gas welding robots can operate autonomously, but quality controls are carried out manually by means of laboratory tests. In this study, a method which can work fast in real time quality control applications is proposed by using the data obtained from the robots used in the production system. In this study, comparison of other classification algorithms which can be used in this field has been made. First of all, sensor data on the robots and production system were taken and quality control of the product at the end of the process was made and the entire process was classified. The processes in the obtained data were analyzed as raw data and statistical values were examined. Support Vector Machines, Decision Trees, Random Forests and Logistic Regression algorithms are used to classify the data. The algorithms used in the data set were successfully applied and a success rate of 87% was obtained with the Support Vector Machines.en_US
dc.description.sponsorshipIEEE Turkey Sect, Turkcell, Turkhavacilik Uzaysanayii, Turitak Bilgem, Gebze Teknik Univ, SAP, Detaysoft, NETAS, Havelsanen_US
dc.identifier.isbn978-1-7281-1904-5
dc.identifier.issn2165-0608
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://hdl.handle.net/20.500.12885/699
dc.identifier.wosWOS:000518994300149en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorAvcı, Adem
dc.language.isotren_US
dc.publisherIeeeen_US
dc.relation.ispartof2019 27Th Signal Processing And Communications Applications Conference (Siu)en_US
dc.relation.ispartofseriesSignal Processing and Communications Applications Conference
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectclassificationen_US
dc.subjectsupport vector machineen_US
dc.subjectregressionen_US
dc.subjectgas weldingen_US
dc.titleQuality Determination by Using Support Vector Machine in Gas Welding Applicationsen_US
dc.typeConference Objecten_US

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WoS İndeksli Yayınlar Koleksiyonu
Elektrik Elektronik Mühendisliği Bölümü Yayın Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu