Issue |
MATEC Web Conf.
Volume 211, 2018
The 14th International Conference on Vibration Engineering and Technology of Machinery (VETOMAC XIV)
|
|
---|---|---|
Article Number | 11009 | |
Number of page(s) | 5 | |
Section | ML: Vibration of Solids and Structures under Moving Loads | |
DOI | https://doi.org/10.1051/matecconf/201821111009 | |
Published online | 10 October 2018 |
Wavelet based analysis of truck vibrations during off-road transportation
1
University of Defence,
662 10
Kounicova street 65,
Czech Republic
2
Cracow University of Technology,
Warszawska 24,
31-155
Krakow,
Poland
* Corresponding author: dgrzesica@pk.edu.pl
Analysis of vibration of the vehicle on the road surface is of importance for cargo and vehicle security. The vibration data analysed in this paper include vibrations in three directions: longitudinal, transverse and vertical. They have been collected for military cargo during transport on various road surfaces. Compared to previous publications, in this paper, a wavelet transform is proposed for vibration analysis, with the emphasis on their efficiency and the capability to recognise important details of the signal. A series of simulations is needed for making an appropriate chose of wavelets, in order to analyse the most wanted features in time-frequency domain. Wavelet coefficients can be analysed for a wide range of frequencies. The main purpose of this study is to extract from the obtained scalograms essential features allowing to recognize a type of the road for which the signals were recorded. The obtained results might support the identification procedure for the road recognition based on measured signals, especially for vehicles passing from one type of road to another.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.