Estimation of primary suspension parameters from lateral dynamic response of a wheelset

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25510%2F16%3A39901373" target="_blank" >RIV/00216275:25510/16:39901373 - 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

Estimation of primary suspension parameters from lateral dynamic response of a wheelset

Popis výsledku v původním jazyce

Globally, maintenance tasks for railway vehicles have generally calendar based schedules. However, apparent changes may occur in vehicle structure and environment. Suspension malfunction and substantial change in adhesion conditions can be given as an example for such situations. Since these kinds of changes may affect especially safety, necessary actions must be taken as soon as possible without waiting schedule. This is possible with condition monitoring systems, which lead vehicles to be smarter, as they can inform decision makers for actions. Dynamic response of a vehicle, which includes information about changes in vehicle's structure and environment, can be used for condition monitoring. In this study, a condition monitoring scheme is proposed to identify primary lateral suspension parameter from dynamic response of a wheelset. Identification is based on the well-known model based filtering method, namely unscented Kalman filter.

Název v anglickém jazyce

Estimation of primary suspension parameters from lateral dynamic response of a wheelset

Popis výsledku anglicky

Globally, maintenance tasks for railway vehicles have generally calendar based schedules. However, apparent changes may occur in vehicle structure and environment. Suspension malfunction and substantial change in adhesion conditions can be given as an example for such situations. Since these kinds of changes may affect especially safety, necessary actions must be taken as soon as possible without waiting schedule. This is possible with condition monitoring systems, which lead vehicles to be smarter, as they can inform decision makers for actions. Dynamic response of a vehicle, which includes information about changes in vehicle's structure and environment, can be used for condition monitoring. In this study, a condition monitoring scheme is proposed to identify primary lateral suspension parameter from dynamic response of a wheelset. Identification is based on the well-known model based filtering method, namely unscented Kalman filter.

Druh

D - Stať ve sborníku

CEP obor

JO - Pozemní dopravní systémy a zařízení

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název statě ve sborníku

Engineering Mechanics 2016 : 22nd International Conference

ISBN

978-80-87012-59-8

ISSN

1805-8248

e-ISSN

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Počet stran výsledku

4

Strana od-do

434-437

Název nakladatele

Ústav termomechaniky AV ČR, v. v. i.

Místo vydání

Praha

Místo konání akce

Svratka

Datum konání akce

9. 5. 2016

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

000379986700105