Using spectral analysis for flat wheel detections

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dc.contributor.authorPíštěk, Václavcs
dc.contributor.authorKučera, Pavelcs
dc.coverage.issue1cs
dc.coverage.volume13cs
dc.date.accessioned2018-08-24T14:49:00Z
dc.date.available2018-08-24T14:49:00Z
dc.date.issued2017-09-27cs
dc.description.abstractThe following article describes measurement data processing for detecting flat spots on wheels of railway cars. This type of defect usually causes significant impact wear of railway infrastructure that can lead to different safety problems. So development and improvement of methods used for early detection and recognition of such defects can decrease costs of infrastructure maintenance and prevent safety accident. The proposed method is based on Fourier analysis and aimed at processing measurements received from strain gauges.en
dc.formattextcs
dc.format.extent171-174cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationVibroengineering Procedia. 2017, vol. 13, issue 1, p. 171-174.en
dc.identifier.doi10.21595/vp.2017.19045cs
dc.identifier.issn2345-0533cs
dc.identifier.other140193cs
dc.identifier.urihttp://hdl.handle.net/11012/84215
dc.language.isoencs
dc.publisherJVE Internationalcs
dc.relation.ispartofVibroengineering Procediacs
dc.relation.urihttps://www.jvejournals.com/article/19045cs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/2345-0533/cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectflat wheelen
dc.subjectFourier transformen
dc.subjectstrain gauge sensoren
dc.titleUsing spectral analysis for flat wheel detectionsen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-140193en
sync.item.dbtypeVAVen
sync.item.insts2020.03.31 09:58:06en
sync.item.modts2020.03.31 07:40:07en
thesis.grantorVysoké učení technické v Brně. Fakulta strojního inženýrství. Ústav automobilního a dopravního inženýrstvícs
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