Vibration monitoring for defect diagnosis of rolling element bearings as a predictive maintenance tool: Comprehensive case studies

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dc.contributor.authorOrhan, Sadettin
dc.contributor.authorAktürk, Nizami
dc.contributor.authorÇelik, Veli
dc.date.accessioned2020-06-25T17:43:33Z
dc.date.available2020-06-25T17:43:33Z
dc.date.issued2006
dc.descriptionOrhan, Sadettin/0000-0002-9751-6665
dc.description.abstractVibration monitoring and analysis in rotating machineries offer very important information about anamolies formed internal structure of the machinery. The information gained by vibration analysis enable to plan a maintenance action. In this study, the vibration monitoring and analysis case studies were presented and examined in machineries that were running in real operating conditions. Failures formed on the machineries in the course of time were determined in its early stage by the spectral analysis. It was shown that the vibration analysis gets much advantage in factories as a predictive maintenance technique. (c) 2005 Elsevier Ltd. All rights reserved.en_US
dc.identifier.citationclosedAccessen_US
dc.identifier.doi10.1016/j.ndteint.2005.08.008
dc.identifier.endpage298en_US
dc.identifier.issn0963-8695
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-30344454699
dc.identifier.scopusqualityQ1
dc.identifier.startpage293en_US
dc.identifier.urihttps://doi.org10.1016/j.ndteint.2005.08.008
dc.identifier.urihttps://hdl.handle.net/20.500.12587/3783
dc.identifier.volume39en_US
dc.identifier.wosWOS:000235244900008
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier Sci Ltden_US
dc.relation.ispartofNdt & E International
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectvibration monitoringen_US
dc.subjectrolling element bearing defectsen_US
dc.subjectpredictive maintenanceen_US
dc.titleVibration monitoring for defect diagnosis of rolling element bearings as a predictive maintenance tool: Comprehensive case studiesen_US
dc.typeArticle

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