Using spectral analysis for flat wheel detections

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Date
2017-09-27
ORCID
Advisor
Referee
Mark
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Volume Title
Publisher
JVE International
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Abstract
The 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.
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Citation
Vibroengineering Procedia. 2017, vol. 13, issue 1, p. 171-174.
https://www.jvejournals.com/article/19045
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Peer-reviewed
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Published version
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Language of document
en
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Date of acceptance
Defence
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Creative Commons Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
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