Wavelet Based Analysis of Truck Vibrations during Off-road Transportation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG42__%2F18%3A00535521" target="_blank" >RIV/60162694:G42__/18:00535521 - isvavai.cz</a>
Result on the web
<a href="https://www.matec-conferences.org/articles/matecconf/abs/2018/70/matecconf_vetomacxiv2018_11009/matecconf_vetomacxiv2018_11009.html" target="_blank" >https://www.matec-conferences.org/articles/matecconf/abs/2018/70/matecconf_vetomacxiv2018_11009/matecconf_vetomacxiv2018_11009.html</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1051/201821111009" target="_blank" >10.1051/201821111009</a>
Alternative languages
Result language
angličtina
Original language name
Wavelet Based Analysis of Truck Vibrations during Off-road Transportation
Original language description
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.
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
50902 - Social sciences, interdisciplinary
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
The 14th International Conference on Vibration Engineering and Technology of Machinery (VETOMAC XIV)
ISBN
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ISSN
2261-236X
e-ISSN
2261-236X
Number of pages
5
Pages from-to
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Publisher name
MATEC Web of Conferences
Place of publication
Lisabon
Event location
Lisabon
Event date
Sep 10, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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