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dc.date.accessioned2023-08-23T06:59:27Z-
dc.date.available2023-08-23T06:59:27Z-
dc.date.issued2017-
dc.identifier.citationŞen, M. ve Kul, B. (2017). ''LoT-based wireless induction motor monitoring''. IEEE, 2017 XXVI International Scientific Conference Electronics (ET), 2017, 1-5.en_US
dc.identifier.isbn978-1-5386-1753-3-
dc.identifier.urihttps://ieeexplore.ieee.org/document/8124386-
dc.identifier.urihttp://hdl.handle.net/11452/33577-
dc.descriptionBu çalışma, 13-15 Eylül 2017 tarihlerinde Sozopol[Bulgaristan]’da düzenlenen 26. International Scientific Conference on Electronics (ET) Kongresi‘nde bildiri olarak sunulmuştur.tr_TR
dc.description.abstractIn this study, a factory induction motor (IM) was monitored with wireless TCP/IP protocol in order to detect and predict deviations from normal operating parameters before the occurrence of motor failure. In this way, the production process is not impeded and the required maintenance or replacement can be performed with the least possible disruption. In this study, the motor cycle, the current drawn by the motor and the motor voltage were read by the Hall-effect current sensor and the required power consumption was calculated. With this aim, the designed architecture read the accepted parameters of the motor and reported them to the central management software. The central management software operating in real time was then able to assemble these parameters and form predictive maintenance models.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectComputer scienceen_US
dc.subjectEngineeringen_US
dc.subjectSystemen_US
dc.subjectWireless Wi-Fi sensor monitoringen_US
dc.subjectInduction motoren_US
dc.subjectMotor parametersen_US
dc.subjectInternet of thingsen_US
dc.subjectMotorcyclesen_US
dc.subjectWi-Fien_US
dc.subjectCurrent sensoren_US
dc.subjectManagement softwareen_US
dc.subjectMotor monitoringen_US
dc.subjectOperating parametersen_US
dc.subjectPredictive maintenanceen_US
dc.subjectProduction processen_US
dc.subjectSensor monitoringen_US
dc.subjectInduction motorsen_US
dc.titleLoT-based wireless induction motor monitoringen_US
dc.typeProceedings Paperen_US
dc.identifier.wos000425865800054tr_TR
dc.identifier.scopus2-s2.0-85043474382tr_TR
dc.relation.publicationcategoryKonferans Öğesi - Uluslararasıtr_TR
dc.contributor.departmentUludağ Üniversitesi/Teknik Bilimler Meslek Yüksekokulu/Elektrik-Elektronik Bölümü.tr_TR
dc.contributor.orcid0000-0002-6313-516Xtr_TR
dc.identifier.startpage1tr_TR
dc.identifier.endpage5tr_TR
dc.identifier.volume2017tr_TR
dc.relation.journalIEEE, 2017 XXVI Internatıonal Scıentıfıc Conference Electronıcs (ET)en_US
dc.contributor.buuauthorŞen, Mehmet-
dc.contributor.buuauthorKul, Basri-
dc.contributor.researcheridAAK-7246-2021tr_TR
dc.subject.wosComputer science, theory & methodsen_US
dc.subject.wosEngineering, electrical & electronicen_US
dc.indexed.wosCPCISen_US
dc.indexed.scopusScopusen_US
dc.contributor.scopusid54387501600tr_TR
dc.contributor.scopusid24338263900tr_TR
dc.subject.scopusInduction Motors; Fault Detection; Statorsen_US
Koleksiyonlarda Görünür:Scopus
Web of Science

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