Using spectral analysis for flat wheel detections
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F17%3APU124887" target="_blank" >RIV/00216305:26210/17:PU124887 - isvavai.cz</a>
Result on the web
<a href="https://www.jvejournals.com/article/19045" target="_blank" >https://www.jvejournals.com/article/19045</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.21595/vp.2017.19045" target="_blank" >10.21595/vp.2017.19045</a>
Alternative languages
Result language
angličtina
Original language name
Using spectral analysis for flat wheel detections
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20301 - Mechanical engineering
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Vibroengineering PROCEDIA
ISBN
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ISSN
2345-0533
e-ISSN
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Number of pages
4
Pages from-to
171-174
Publisher name
JVE International
Place of publication
Neuveden
Event location
Katowice
Event date
Sep 26, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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