dc.contributor.author | Güven, Yılmaz | |
dc.contributor.author | Atış, Selçuk | |
dc.date.accessioned | 2021-12-12T17:01:24Z | |
dc.date.available | 2021-12-12T17:01:24Z | |
dc.date.issued | 2018 | |
dc.identifier.issn | 0019-0578 | |
dc.identifier.issn | 1879-2022 | |
dc.identifier.uri | https://doi.org/10.1016/j.isatra.2018.08.004 | |
dc.identifier.uri | https://hdl.handle.net/20.500.11857/3176 | |
dc.description.abstract | In this work, the implementation of an embedded system for real-time detection of rotor bar failures in induction motor has been realized. The device is a prototype measurement device which can detect broken rotor bars on the field without any additional setup or third-party software. This study has focused to derive a new method from previous studies on diagnosing of rotor failures and developed a microcontroller based embedded measurement device. A new method which is combining Fast Fourier Transform and Grey Relational Analyses to get best diagnosis results has been developed for an embedded system within a compact and low-cost measurement device. Although, there are some computer-based techniques and motor drivers that can detect internal failures of induction motor, there is no such a measurement device that can do all process by itself. | en_US |
dc.description.sponsorship | Marmara University, Directorate of Scientific Research Projects [FEN-C-DRP-121214-0392] | en_US |
dc.description.sponsorship | This research has been supported by Marmara University, Directorate of Scientific Research Projects. Project Number: FEN-C-DRP-121214-0392. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Elsevier Science Inc | en_US |
dc.relation.ispartof | Isa Transactions | en_US |
dc.identifier.doi | 10.1016/j.isatra.2018.08.004 | |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Induction motor | en_US |
dc.subject | Broken rotor bar | en_US |
dc.subject | Signal processing | en_US |
dc.subject | Embedded system | en_US |
dc.subject | Grey relational analysis | en_US |
dc.subject | Failure diagnosis | en_US |
dc.title | Implementation of an embedded system for real-time detection of rotor bar failures in induction motors | en_US |
dc.type | article | |
dc.authorid | GUVEN, YILMAZ/0000-0002-8205-2490 | |
dc.authorid | Atis, Selcuk/0000-0002-2912-9487 | |
dc.department | Meslek Yüksekokulları, Teknik Bilimler Meslek Yüksekokulu, Elektronik ve Otomasyon Bölümü | |
dc.identifier.volume | 81 | en_US |
dc.identifier.startpage | 210 | en_US |
dc.identifier.endpage | 221 | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.authorscopusid | 57203435453 | |
dc.authorscopusid | 23392265600 | |
dc.identifier.wos | WOS:000449897700019 | en_US |
dc.identifier.scopus | 2-s2.0-85051721642 | en_US |
dc.identifier.pmid | PubMed: 30143238 | en_US |
dc.authorwosid | GUVEN, YILMAZ/AAA-8408-2020 | |