Using spectral analysis for flat wheel detections

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dc.contributor.authorSuslov, Evgeniy
dc.contributor.authorNozhenko, Olena
dc.contributor.authorMostovych, Anatolii
dc.contributor.authorPíštěk, Václav
dc.contributor.authorKučera, Pavel
dc.date.accessioned2017-11-24T10:56:49Z
dc.date.available2017-11-24T10:56:49Z
dc.date.issued2017-09
dc.description.abstractenThe 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.uk
dc.format.pagerangeP. 171‑174uk
dc.identifier.citationUsing spectral analysis for flat wheel detections / Evgeniy Suslov, Olena Nozhenko, Anatolii Mostovych, Václav Píštěk, Pavel Kučera // Vibroengineering PROCEDIA. – JVE International Ltd., 2017. – Vol. 13. – P. 171 174.uk
dc.identifier.doihttps://doi.org/10.21595/vp.2017.19045
dc.identifier.issn2345-0533
dc.identifier.urihttps://ela.kpi.ua/handle/123456789/21216
dc.language.isoenuk
dc.publisherJVE International Ltd.uk
dc.publisher.placePolanduk
dc.sourceVibroengineering PROCEDIAuk
dc.subjectflat wheeluk
dc.subjectstrain gauge sensoruk
dc.subjectFourier transformuk
dc.titleUsing spectral analysis for flat wheel detectionsuk
dc.typeArticleuk

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