Feature extraction of ball bearings in time-space and estimation of fault size with method of ANN

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dc.authoridhttps://orcid.org/0000-0002-9749-0418en_US
dc.contributor.authorKaplan, Kaplan
dc.contributor.authorBayram, Samet
dc.contributor.authorKuncan, Melih
dc.contributor.authorErtunç, H. Metin
dc.date.accessioned2020-06-18T13:05:27Z
dc.date.available2020-06-18T13:05:27Z
dc.date.issued2014en_US
dc.departmentMühendislik Fakültesien_US
dc.description.abstractFaults in bearings used in machines cause downtime and leads to catastrophic results on the machining operations. In this study, specific sizes of the artificial bearings defects are created and vibration signals were obtained from a shaft-bearing system. The purpose of this study is to diagnose the size of the defects occurring in bearings by using Artificial Neural Networks(ANN) model. Features of vibration data are extracted in real time and are multiplied with specific weights; then they were given as input to the ANN model. Statistical properties of bearings faults are observed that their values vary depending on fault dimensions in real-time. These features are examined by using ANN and the size of the defects occurring in bearings are classified with 100% success, on the other hand the prediction permonfance of actual error for a ANN model is found 2%.en_US
dc.identifier.citationKaplan, K., Bayram, S., Kuncan, M., & Ertunç, H. M. (2014). Feature extraction of ball bearings in time-space and estimation of fault size with method of ANN. Proceedings of the 16th MechatroniNa, 2014.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12604/2696
dc.institutionauthorKuncan, Melih
dc.language.isoenen_US
dc.publisherProceedings of the 16th Mechatronikaen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmz#KayıtKontrol#
dc.subjectArtificial neural networksen_US
dc.subjectBearingsen_US
dc.subjectDiagnosingen_US
dc.titleFeature extraction of ball bearings in time-space and estimation of fault size with method of ANNen_US
dc.title.alternativeFeature Extraction of Ball Bearings in Time-Space and Estimation of Fault Size with Method of ANNen_US
dc.typeConference Objecten_US

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