Vibration-Based Detection and Classification 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.authorLee, Sang Bin
dc.date.accessioned2026-04-04T13:33:23Z
dc.date.available2026-04-04T13:33:23Z
dc.date.issued2025
dc.departmentİnönü Üniversitesi
dc.description.abstractVibration analysis is considered the most common and effective means of detecting mechanical faults such as imbalance, misalignment, and looseness in induction motor driven systems. Most mechanical problems result in an increase in vibration at multiples of the rotor speed frequency (1x) making it difficult to discern the source of vibration. In case of a fault alarm, the maintenance engineer usually performs a walk-around test to identify the source of vibration for planning maintenance, and therefore, is exposed to safety risks. In this paper, a new remote and automated test method for identifying the source of mechanical vibration during the starting transient of induction motors is proposed. The level and speed-dependency of vibration during rotor acceleration are used for identifying imbalance from other mechanical defects that produce 1x vibration. Test results on a 380 V, 5.5 kW induction motor under mechanical defects are given for verification. It is shown that the proposed method can provide automated identification of the source of vibration enabling maintenance to be performed in a safe, low cost, and efficient manner. The data acquired and analyzed for the testing are described and shared through this paper.
dc.description.sponsorshipNational Research Foundation of Korea (NRF) - Korea Government (MSIT) [RS-2023-00218377]
dc.description.sponsorshipThis work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea Government (MSIT) under Grant RS-2023-00218377.
dc.identifier.doi10.1109/TIA.2025.3554469
dc.identifier.endpage7003
dc.identifier.issn0093-9994
dc.identifier.issn1939-9367
dc.identifier.issue5
dc.identifier.orcid0009-0002-8278-2220
dc.identifier.orcid0000-0002-8218-3239
dc.identifier.orcid0000-0003-0112-8578
dc.identifier.orcid0000-0001-5313-2400
dc.identifier.scopus2-s2.0-105001280605
dc.identifier.scopusqualityQ1
dc.identifier.startpage6994
dc.identifier.urihttps://doi.org/10.1109/TIA.2025.3554469
dc.identifier.urihttps://hdl.handle.net/11616/109125
dc.identifier.volume61
dc.identifier.wosWOS:001554456300011
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherIeee-Inst Electrical Electronics Engineers Inc
dc.relation.ispartofIEEE Transactions on Industry Applications
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20250329
dc.subjectAccelerometer
dc.subjectfault diagnosis
dc.subjectimbalance
dc.subjectlooseness
dc.subjectmisalignment
dc.subjectpiezoelectric transducer
dc.subjectshort time fourier transform
dc.subjectspectral analysis
dc.subjectstarting transient
dc.subjecttime-frequency transformation
dc.subjectvelocity
dc.subjectvibration analysis
dc.subjectimbalance
dc.subjectlooseness
dc.subjectmisalignment
dc.subjectpiezoelectric transducer
dc.subjectshort time fourier transform
dc.subjectspectral analysis
dc.subjectstarting transient
dc.subjecttime-frequency transformation
dc.subjectvelocity
dc.subjectvibration analysis
dc.titleVibration-Based Detection and Classification of Mechanical Defects in Induction Motor-Driven Systems During the Starting Transient
dc.typeArticle

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