A new real-time fuzzy logic based diagnosis of stator faults for inverter-fed induction motor under low speeds

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dc.contributor.authorAydin, Ilhan
dc.contributor.authorKarakose, Mehmet
dc.contributor.authorAkin, Erhan
dc.date.accessioned2026-08-12T16:08:10Z
dc.date.issued2016
dc.departmentFırat Üniversitesi
dc.description14th IEEE International Conference on Industrial Informatics, INDIN 2016 -- 19 July 2016 through 21 July 2016 -- Poitiers -- 126001
dc.description.abstractInduction motors are the most utilized motor types of industrial applications. They are robust and have a simple structure. However, they can be exposed to some faults because of hostile environments. Many methods have been proposed for detection of faults at line-feed induction motors. However, fault diagnosis methods for inverter-fed induction motors are quite limited. In this study, a new fault detection method is proposed to detect stator related faults for inverter-fed induction motors. The proposed method takes three-phase current signals and applies the park's vector transform. The principal component analysis is applied to two park's vector components. The features obtained by applying principal component analysis are given to fuzzy logic and the severity of stator related-fault is determined. The proposed algorithm is implemented on a STM32F746 microprocessor and good results have been obtained. © 2016 IEEE.
dc.description.sponsorshipCNRS; IEEE Industrial Electronics Society (IES); Institut P'; The Institute of Electrical and Electronics Engineers (IEEE); University of Poitiers
dc.identifier.doi10.1109/INDIN.2016.7819202
dc.identifier.endpage451
dc.identifier.isbn978-150902870-2
dc.identifier.issn1935-4576
dc.identifier.scopus2-s2.0-85012913334
dc.identifier.scopusqualityQ3
dc.identifier.startpage446
dc.identifier.urihttps://doi.org/10.1109/INDIN.2016.7819202
dc.identifier.urihttps://hdl.handle.net/11508/41078
dc.identifier.volume0
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartofIEEE International Conference on Industrial Informatics (INDIN)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20260511
dc.subjectComputer circuits; Electric fault currents; Electric inverters; Fuzzy logic; Induction motors; Industrial informatics; Principal component analysis; Stators; Detection methods; Fault diagnosis method; Hostile environments; Inverter-fed induction motors; Park's vector; Simple structures; Stator fault; Three-phase currents; Fault detection
dc.titleA new real-time fuzzy logic based diagnosis of stator faults for inverter-fed induction motor under low speeds
dc.typeConference Object

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