Design of artificial neural networks for rotor dynamics analysis of rotating machine systems

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dc.contributor.authorKalkat M.
dc.contributor.authorYildirim S.
dc.contributor.authorUzmay I.
dc.date.accessioned2019-08-01T13:38:39Z
dc.date.available2019-08-01T13:38:39Z
dc.date.issued2005
dc.departmentNiğde ÖHÜ
dc.description.abstractA Neural Network predictor investigation is presented for analyzing vibration parameters of the rotating system. The vibration parameters of the system such as amplitude, velocity and acceleration in vertical direction were measured at the bearing points. The system's vibration and noise were analyzed for different working conditions. The designed neural predictor has three layers which are input, hidden and output layers. In the hidden layer 10 neurons were used for this approximation. The results showed that the network would be used as analyzer of such systems in experimental applications. © 2005 Elsevier Ltd. All rights reserved.
dc.identifier.doi10.1016/j.mechatronics.2004.11.002
dc.identifier.endpage588
dc.identifier.issn0957-4158
dc.identifier.issue5
dc.identifier.scopus2-s2.0-15844389856
dc.identifier.scopusqualityQ1
dc.identifier.startpage573
dc.identifier.urihttps://dx.doi.org/10.1016/j.mechatronics.2004.11.002
dc.identifier.urihttps://hdl.handle.net/11480/1283
dc.identifier.volume15
dc.identifier.wosWOS:000229231200004
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthor[0-Belirlenecek]
dc.language.isoen
dc.relation.ispartofMechatronics
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectExperimental setup
dc.subjectNeural network
dc.subjectShaft vibration
dc.titleDesign of artificial neural networks for rotor dynamics analysis of rotating machine systems
dc.typeArticle

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