Publication detail
Using spectral analysis for flat wheel detections
SUSLOV, E.. NOZHENKO, O. ANATOLII, M. PÍŠTĚK, V. KUČERA, P.
English title
Using spectral analysis for flat wheel detections
Type
conference paper
Language
en
Original 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.
English 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 in English
flat wheel, Fourier transform, strain gauge sensor
Released
27.09.2017
Publisher
JVE International
ISSN
2345-0533
Book
Vibroengineering PROCEDIA
Volume
13
Number
1
Pages from–to
171–174
Pages count
4
BIBTEX
@inproceedings{BUT140193,
author="Václav {Píštěk} and Pavel {Kučera},
title="Using spectral analysis for flat wheel detections ",
booktitle="Vibroengineering PROCEDIA
",
year="2017",
volume="13",
number="1",
month="September",
pages="171--174",
publisher="JVE International",
issn="2345-0533"
}