Using spectral analysis for flat wheel detections

Kód výsledku v 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>
Výsledek na webu
<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>

Jazyk výsledku
angličtina
Název v původním jazyce
Using spectral analysis for flat wheel detections
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Using spectral analysis for flat wheel detections
Popis výsledku anglicky
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.

Rok uplatnění
2017
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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