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SUSLOV, E..; NOZHENKO, O.; ANATOLII, M.; PÍŠTĚK, V.; KUČERA, P.;
Original Title
Using spectral analysis for flat wheel detections
English Title
Type
Paper in proceedings (conference paper)
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
Keywords
flat wheel, Fourier transform, strain gauge sensor
Key words in English
Authors
RIV year
2018
Released
27.09.2017
Publisher
JVE International
Book
Vibroengineering PROCEDIA
ISBN
2345-0533
Periodical
Vibroengineering Procedia
Volume
13
Number
1
State
Republic of Lithuania
Pages from
171
Pages to
174
Pages count
4
URL
https://www.jvejournals.com/article/19045
Full text in the Digital Library
http://hdl.handle.net/11012/84215
BibTex
@inproceedings{BUT140193, author="SUSLOV, E.. and NOZHENKO, O. and ANATOLII, M. and PÍŠTĚK, V. and KUČERA, P.", title="Using spectral analysis for flat wheel detections", booktitle="Vibroengineering PROCEDIA ", year="2017", journal="Vibroengineering Procedia", volume="13", number="1", pages="171--174", publisher="JVE International", doi="10.21595/vp.2017.19045", issn="2345-0533", url="https://www.jvejournals.com/article/19045" }
Documents
VP-13-19045