A Comparative Study of Current, Vibration and Stray Magnetic Flux Based Detection for Parallel Misalignment Fault in Induction Motors

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dc.authoridGoktas, Taner/0000-0002-8218-3239
dc.authoridGurusamy, Vigneshwaran/0000-0002-9366-1777
dc.authorwosidGoktas, Taner/ABG-9388-2020
dc.authorwosidGurusamy, Vigneshwaran/ABU-7865-2022
dc.contributor.authorGoktas, Taner
dc.contributor.authorArkan, Muslum
dc.contributor.authorGurusamy, V.
dc.date.accessioned2024-08-04T20:51:36Z
dc.date.available2024-08-04T20:51:36Z
dc.date.issued2021
dc.departmentİnönü Üniversitesien_US
dc.description13th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED) -- AUG 22-25, 2021 -- Dallas, TXen_US
dc.description.abstractThe misalignment fault is commonly caused by incorrect shaft positions between motor and load in electrical machines. It affects the mechanical symmetry of machine and thus causes mechanical oscillation on the shaft. In this paper, the parallel misalignment fault is analyzed based on stator current, vibration and stray flux in induction motors (IMs). The three-axis vibration sensor and an integrated flux sensor are used in order to stream vibration and stray flux for diagnostics process, respectively. The comparative results between stator current, vibration and stray flux are presented. Experimental results show that stator current and vibration-based analyses provide highly reliable results than stray flux for parallel misalignment fault. It is also shown that the proposed signatures in current and vibration vary very little with respect to load and motor drive type. Moreover, Multilayer Perceptron (MLP) based machine learning algorithm using vibration and stator current is carried out and it has excellent performance in the automatic detection of parallel misalignment fault.en_US
dc.description.sponsorshipIEEEen_US
dc.identifier.doi10.1109/SDEMPED51010.2021.9605507
dc.identifier.endpage16en_US
dc.identifier.isbn978-1-7281-9297-0
dc.identifier.scopus2-s2.0-85123308353en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage11en_US
dc.identifier.urihttps://doi.org/10.1109/SDEMPED51010.2021.9605507
dc.identifier.urihttps://hdl.handle.net/11616/100434
dc.identifier.wosWOS:000904997200004en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIeeeen_US
dc.relation.ispartof2021 Ieee 13th International Symposium on Diagnostics For Electrical Machines, Power Electronics and Drives (Sdemped)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectMisalignment faulten_US
dc.subjectfault diagnosisen_US
dc.subjectinduction motoren_US
dc.subjectstray fluxen_US
dc.subjectvibrationen_US
dc.subjectMulti-layer perceptronen_US
dc.titleA Comparative Study of Current, Vibration and Stray Magnetic Flux Based Detection for Parallel Misalignment Fault in Induction Motorsen_US
dc.typeConference Objecten_US

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