Using spectral analysis for flat wheel detections
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.
Keywords
flat wheel, Fourier transform, strain gauge sensorPersistent identifier
http://hdl.handle.net/11012/84215Document type
Peer reviewedDocument version
Final PDFSource
Vibroengineering Procedia. 2017, vol. 13, issue 1, p. 171-174.https://www.jvejournals.com/article/19045
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Except where otherwise noted, this item's license is described as Creative Commons Attribution 4.0 International