IoT based Multi-Environmental Sensing System: Monitoring of Rotor Fault in Induction Motors

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dc.authorscopusid55975642500
dc.authorscopusid58671219900
dc.authorscopusid58671332800
dc.authorscopusid7801529067
dc.contributor.authorGoktas T.
dc.contributor.authorEr R.
dc.contributor.authorAltunel F.
dc.contributor.authorArkan M.
dc.date.accessioned2024-08-04T20:04:00Z
dc.date.available2024-08-04T20:04:00Z
dc.date.issued2023
dc.departmentİnönü Üniversitesien_US
dc.descriptionIEEE Industrial Electronics Society (IES);IEEE Industry Applications Society (IAS);IEEE Power Electronics Society (PELS);Megger Group Limited;Technical University of Chania (TUC) Region of Creteen_US
dc.description14th IEEE International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives, SDEMPED 2023 -- 28 August 2023 through 31 August 2023 -- 193324en_US
dc.description.abstractThis paper presents an IoT based multi-environmental sensing system in order to monitor the rotor bar fault in induction motors. For this purpose, an upgraded prototype all-in one smart sensor including vibration, flux and acoustic measures is built up and tested under rotor bar fault. The developed smart sensor has online and remote monitoring capabilities through IoT technology. The experimental results under different torque profiles shows that the rotor bar fault can be diagnosed and monitored accurately by utilizing IoT based multi-environmental sensing system which use the three-axes vibration, stray flux and acoustic data in induction motors. © 2023 IEEE.en_US
dc.identifier.doi10.1109/SDEMPED54949.2023.10271411
dc.identifier.endpage290en_US
dc.identifier.isbn9798350320770
dc.identifier.scopus2-s2.0-85175255599en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage285en_US
dc.identifier.urihttps://doi.org/10.1109/SDEMPED54949.2023.10271411
dc.identifier.urihttps://hdl.handle.net/11616/92266
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofProceedings of the 2023 IEEE 14th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives, SDEMPED 2023en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectacousticen_US
dc.subjectinduction motorsen_US
dc.subjectIoT toolen_US
dc.subjectrotor bar faulten_US
dc.subjectstray fluxen_US
dc.subjectvibrationen_US
dc.titleIoT based Multi-Environmental Sensing System: Monitoring of Rotor Fault in Induction Motorsen_US
dc.typeConference Objecten_US

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