Stationary device for vibrodiagnostics of passing vehicle

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25510%2F15%3A39900504" target="_blank" >RIV/00216275:25510/15:39900504 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Stationary device for vibrodiagnostics of passing vehicle

Popis výsledku v původním jazyce

On the base of the carried out measurement in 2013 and 2014, the stationary measurement system has been developed for vibrodiagnostics of railway vehicles. This system is currently in a trial operation in Prague's subway. The principle of the railway vehicle bogie diagnostics is based on noise and vibration measurement of a railway superstructure. The measurement system is self-contained - it saves the measured data of a passed train automatically, including identification of the trainset and the each wheelset. The measured data are evaluated in the frequency domain, where failure symptoms are identified. The measurement repeatability makes possible application of a neural network for detection of the failure symptoms. The next phase of this project will concern to the application of the neural network. The function of the developed device and the principle of failure detection are described in this paper. The existing results of the carried out measurement are presented too.

Název v anglickém jazyce

Stationary device for vibrodiagnostics of passing vehicle

Popis výsledku anglicky

On the base of the carried out measurement in 2013 and 2014, the stationary measurement system has been developed for vibrodiagnostics of railway vehicles. This system is currently in a trial operation in Prague's subway. The principle of the railway vehicle bogie diagnostics is based on noise and vibration measurement of a railway superstructure. The measurement system is self-contained - it saves the measured data of a passed train automatically, including identification of the trainset and the each wheelset. The measured data are evaluated in the frequency domain, where failure symptoms are identified. The measurement repeatability makes possible application of a neural network for detection of the failure symptoms. The next phase of this project will concern to the application of the neural network. The function of the developed device and the principle of failure detection are described in this paper. The existing results of the carried out measurement are presented too.

Druh

D - Stať ve sborníku

CEP obor

JO - Pozemní dopravní systémy a zařízení

OECD FORD obor

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Projekt

<a href="/cs/project/TE01020038" target="_blank" >TE01020038: Centrum kompetence drážních vozidel</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název statě ve sborníku

Vibroengineering PROCEDIA Volume 6

ISBN

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ISSN

2345-0533

e-ISSN

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Počet stran výsledku

6

Strana od-do

98-103

Název nakladatele

JVE International

Místo vydání

Kaunas

Místo konání akce

Katowice

Datum konání akce

14. 10. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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