An Effective Method for Detection of Demagnetization Fault in Axial Flux Coreless PMSG With Texture-Based Analysis

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dc.authoridMINAZ, Mehmet Recep/0000-0001-8046-6465
dc.contributor.authorMinaz, Mehmet Recep
dc.contributor.authorAkcan, Eyyup
dc.date.accessioned2024-12-24T19:28:33Z
dc.date.available2024-12-24T19:28:33Z
dc.date.issued2021
dc.departmentSiirt Üniversitesi
dc.description.abstractDue to its high power densities and compact dimensions, the axial flux coreless permanent magnet synchronous generator (PMSG) is used in a wide range of areas such as wind turbines and electric vehicles. It is extremely important to detect magnetization faults that occur in these generators. The occurrence of such faults in these machines with a wide range of areas of use affects their operation negatively. In this study, an effective method has been proposed to detect the demagnetization fault occurring in axial flux coreless PMSGs. The relevant method proposes an effective texture analysis-based feature extraction method, which is an original method in contrast to conventional methods used in the literature. It has been revealed that it is a method that can be used instead of conventional methods such as time-frequency analysis, frequency spectrum analysis, and motor current signature analysis (MCSA) methods. Using the finite element method, current and voltage signals were taken from the healthy and axial flux coreless PMSG with 3% and 6% demagnetization fault. Besides, these signals were retaken at different speeds and loads. After the signals were converted into images, using the features obtained from the images with LBP, fault diagnosis processes were carried out with Knn. It was tested both at different fault rates and under different load and speed conditions to test whether the proposed method worked properly. The success rate of this method was observed as 97.16% and 100%. With the proposed method, it has been revealed that the demagnetization fault can be detected in axial flux coreless PMSGs.
dc.description.sponsorshipSpecial Electrical Laboratory, Siirt University
dc.description.sponsorshipThis work was supported by the Special Electrical Laboratory, Siirt University.
dc.identifier.doi10.1109/ACCESS.2021.3050418
dc.identifier.endpage17449
dc.identifier.issn2169-3536
dc.identifier.scopus2-s2.0-85099550752
dc.identifier.scopusqualityQ1
dc.identifier.startpage17438
dc.identifier.urihttps://doi.org/10.1109/ACCESS.2021.3050418
dc.identifier.urihttps://hdl.handle.net/20.500.12604/7112
dc.identifier.volume9
dc.identifier.wosWOS:000615027400001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherIEEE-Inst Electrical Electronics Engineers Inc
dc.relation.ispartofIeee Access
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241222
dc.subjectDemagnetization
dc.subjectCircuit faults
dc.subjectFault detection
dc.subjectStator cores
dc.subjectTorque
dc.subjectMagnetic flux
dc.subjectMagnetic cores
dc.subjectImage texture analysis
dc.subjectdemagnetization
dc.subjectfault detection
dc.subjectpermanent magnet machines
dc.titleAn Effective Method for Detection of Demagnetization Fault in Axial Flux Coreless PMSG With Texture-Based Analysis
dc.typeArticle

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