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dc.contributor.authorPíštěk, Václavcs
dc.contributor.authorKravchenko, Kostiantyncs
dc.contributor.authorKučera, Pavelcs
dc.date.accessioned2018-08-24T14:49:01Z
dc.date.available2018-08-24T14:49:01Z
dc.date.issued2017-09-27cs
dc.identifier.citationVibroengineering Procedia. 2017, vol. 13, issue 1, p. 165-170.en
dc.identifier.issn2345-0533cs
dc.identifier.other140192cs
dc.identifier.urihttp://hdl.handle.net/11012/84217
dc.description.abstractThe paper discusses the preconditions of the methodology development of diagnosis system for assessing dynamic impact of the rolling stock on the basis of processing and analysis of data obtained in operation on the results of measurement of parameters that characterize dynamic vibration processes of the mechanical system of “rolling stock–track”. On the basis of usage of the processing methods of time series and stochastic processes there has been established the relationship between these dynamic processes and wheel defects, and designed experimental data processing algorithms, which in the future will be an integral part of the intellectual systems of decision making when assessing the impact level of the rolling stock on the track.en
dc.formattextcs
dc.format.extent165-170cs
dc.format.mimetypeapplication/pdfcs
dc.language.isoencs
dc.publisherJVE Internationalcs
dc.relation.ispartofVibroengineering Procediacs
dc.relation.urihttps://www.jvejournals.com/article/19044cs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectrolling stock with the wheels defectsen
dc.subjectacceleration of the railsen
dc.subjectthe statistical signal processing techniquesen
dc.titleResults of the experimental research of dynamic vibration processes of the rail for rolling stocks fault diagnosticsen
thesis.grantorVysoké učení technické v Brně. Fakulta strojního inženýrství. Ústav automobilního a dopravního inženýrstvícs
sync.item.dbidVAV-140192en
sync.item.dbtypeVAVen
sync.item.insts2020.03.31 09:58:06en
sync.item.modts2020.03.31 07:31:59en
dc.coverage.issue1cs
dc.coverage.volume13cs
dc.identifier.doi10.21595/vp.2017.19044cs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/2345-0533/cs
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen


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Creative Commons Attribution 4.0 International
Except where otherwise noted, this item's license is described as Creative Commons Attribution 4.0 International