Using spectral analysis for flat wheel detections
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Date
2017-09-27
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ORCID
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Referee
Mark
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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
https://www.jvejournals.com/article/19045
Document type
Peer-reviewed
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en