Wavelet Based Analysis of Truck Vibrations during Off-road Transportation

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Wavelet Based Analysis of Truck Vibrations during Off-road Transportation

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Wavelet Based Analysis of Truck Vibrations during Off-road Transportation

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

50902 - Social sciences, interdisciplinary

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

The 14th International Conference on Vibration Engineering and Technology of Machinery (VETOMAC XIV)

ISBN

—

ISSN

2261-236X

e-ISSN

2261-236X

Počet stran výsledku

5

Strana od-do

—

Název nakladatele

MATEC Web of Conferences

Místo vydání

Lisabon

Místo konání akce

Lisabon

Datum konání akce

10. 9. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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