An unscented Kalman filter-based rolling radius estimation methodology for railway vehicles with traction

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25510%2F18%3A39911358" target="_blank" >RIV/00216275:25510/18:39911358 - isvavai.cz</a>

Výsledek na webu

<a href="http://journals.sagepub.com/doi/10.1177/0954409717745201" target="_blank" >http://journals.sagepub.com/doi/10.1177/0954409717745201</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1177/0954409717745201" target="_blank" >10.1177/0954409717745201</a>

Jazyk výsledku

angličtina

Název v původním jazyce

An unscented Kalman filter-based rolling radius estimation methodology for railway vehicles with traction

Popis výsledku v původním jazyce

Monitoring the conditions of railway vehicle systems plays an important role in the maintenance of safety and performance of railway vehicles. Rolling radius is one of the properties that should be monitored continuously for the predictive maintenance of a railway vehicle since it changes with time due to wheel wear. In this study, a model-based condition monitoring methodology, which is based on an unscented Kalman filter, is proposed. The model includes the torsional dynamics of an independently rotating tram wheel with a traction motor and a contact model. The rolling radius is estimated by considering the traction effort of the motor and the angular velocity measurements. The proposed methodology is tested on a tram wheel test stand (roller rig), which has a wheel on roller configuration. First, a mathematical model is validated by the measurements taken from the test stand. Second, the unscented Kalman filter is applied as a parameter estimator. The results demonstrate that the proposed scheme is a promising option to be used in the predictive condition monitoring of the wheel profile for traction vehicles.

Název v anglickém jazyce

An unscented Kalman filter-based rolling radius estimation methodology for railway vehicles with traction

Popis výsledku anglicky

Monitoring the conditions of railway vehicle systems plays an important role in the maintenance of safety and performance of railway vehicles. Rolling radius is one of the properties that should be monitored continuously for the predictive maintenance of a railway vehicle since it changes with time due to wheel wear. In this study, a model-based condition monitoring methodology, which is based on an unscented Kalman filter, is proposed. The model includes the torsional dynamics of an independently rotating tram wheel with a traction motor and a contact model. The rolling radius is estimated by considering the traction effort of the motor and the angular velocity measurements. The proposed methodology is tested on a tram wheel test stand (roller rig), which has a wheel on roller configuration. First, a mathematical model is validated by the measurements taken from the test stand. Second, the unscented Kalman filter is applied as a parameter estimator. The results demonstrate that the proposed scheme is a promising option to be used in the predictive condition monitoring of the wheel profile for traction vehicles.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20104 - Transport engineering

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 periodika

Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit

ISSN

0954-4097

e-ISSN

—

Svazek periodika

232

Číslo periodika v rámci svazku

6

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

17

Strana od-do

1686-1702

Kód UT WoS článku

000436065400009

EID výsledku v databázi Scopus

2-s2.0-85043342621