LoT-based wireless induction motor monitoring
dc.contributor.buuauthor | Şen, Mehmet | |
dc.contributor.buuauthor | Kul, Basri | |
dc.contributor.department | Uludağ Üniversitesi/Teknik Bilimler Meslek Yüksekokulu/Elektrik-Elektronik Bölümü. | tr_TR |
dc.contributor.orcid | 0000-0002-6313-516X | tr_TR |
dc.contributor.researcherid | AAK-7246-2021 | tr_TR |
dc.contributor.scopusid | 54387501600 | tr_TR |
dc.contributor.scopusid | 24338263900 | tr_TR |
dc.date.accessioned | 2023-08-23T06:59:27Z | |
dc.date.available | 2023-08-23T06:59:27Z | |
dc.date.issued | 2017 | |
dc.description | Bu 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.abstract | In 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.identifier.citation | Şen, 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.endpage | 5 | tr_TR |
dc.identifier.isbn | 978-1-5386-1753-3 | |
dc.identifier.scopus | 2-s2.0-85043474382 | tr_TR |
dc.identifier.startpage | 1 | tr_TR |
dc.identifier.uri | https://ieeexplore.ieee.org/document/8124386 | |
dc.identifier.uri | http://hdl.handle.net/11452/33577 | |
dc.identifier.volume | 2017 | tr_TR |
dc.identifier.wos | 000425865800054 | |
dc.indexed.scopus | Scopus | en_US |
dc.indexed.wos | CPCIS | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE | en_US |
dc.relation.journal | IEEE, 2017 XXVI Internatıonal Scıentıfıc Conference Electronıcs (ET) | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası | tr_TR |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Computer science | en_US |
dc.subject | Engineering | en_US |
dc.subject | System | en_US |
dc.subject | Wireless Wi-Fi sensor monitoring | en_US |
dc.subject | Induction motor | en_US |
dc.subject | Motor parameters | en_US |
dc.subject | Internet of things | en_US |
dc.subject | Motorcycles | en_US |
dc.subject | Wi-Fi | en_US |
dc.subject | Current sensor | en_US |
dc.subject | Management software | en_US |
dc.subject | Motor monitoring | en_US |
dc.subject | Operating parameters | en_US |
dc.subject | Predictive maintenance | en_US |
dc.subject | Production process | en_US |
dc.subject | Sensor monitoring | en_US |
dc.subject | Induction motors | en_US |
dc.subject.scopus | Induction Motors; Fault Detection; Stators | en_US |
dc.subject.wos | Computer science, theory & methods | en_US |
dc.subject.wos | Engineering, electrical & electronic | en_US |
dc.title | LoT-based wireless induction motor monitoring | en_US |
dc.type | Proceedings Paper |
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