Vibration-based Identification of Mechanical Defects in Induction Motor-driven Systems during the Starting Transient

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dc.contributor.authorBattulga, Byambasuren
dc.contributor.authorShaikh, Muhamad Faizan
dc.contributor.authorGoktas, Taner
dc.contributor.authorArkan, Muslum
dc.contributor.authorBin Lee, Sang
dc.date.accessioned2026-04-04T13:33:24Z
dc.date.available2026-04-04T13:33:24Z
dc.date.issued2024
dc.departmentİnönü Üniversitesi
dc.description2024 International Conference on Electrical Machines-ICEM-Biennial -- SEP 01-04, 2024 -- Torino, ITALY
dc.description.abstractVibration analysis is the most widely applied method for detecting mechanical faults such as load unbalance, misalignment, and looseness in induction motor driven systems. Most mechanical problems result in an increase in vibration at the rotor frequency (1x) making it difficult to identify the source of vibration for planning maintenance action. If the vibration level is excessive, a walk-around test is usually performed by the maintenance engineer to identify the source of vibration, exposing the maintenance personnel to safety risks. In this paper, a new remote, automated method for identifying the source of vibration during the starting transient of induction motors is proposed. The level and speed-dependency of vibration during rotor acceleration are used for identifying the cause of vibration. Experimental results on an induction motor under emulated mechanical defects are given to show the remote and automated capability of the proposed method for safe, low cost, and efficient maintenance.
dc.identifier.doi10.1109/ICEM60801.2024.10700439
dc.identifier.isbn979-8-3503-7061-4
dc.identifier.isbn979-8-3503-7060-7
dc.identifier.issn2381-4802
dc.identifier.orcid0000-0001-5313-2400
dc.identifier.scopus2-s2.0-85207519576
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/ICEM60801.2024.10700439
dc.identifier.urihttps://hdl.handle.net/11616/109131
dc.identifier.wosWOS:001533422200310
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherIeee
dc.relation.ispartof2024 International Conference on Electrical Machines, Icem 2024
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20250329
dc.subjectAccelerometer
dc.subjectFault diagnosis
dc.subjectLooseness
dc.subjectLoad unbalance
dc.subjectMisalignment
dc.subjectShort time Fourier transform
dc.subjectSpectral analysis
dc.subjectStarting transient
dc.subjectVelocity
dc.subjectVibration analysis
dc.titleVibration-based Identification of Mechanical Defects in Induction Motor-driven Systems during the Starting Transient
dc.typeConference Object

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