A new friction condition identification approach for wheel-rail interface
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25510%2F16%3A39901458" target="_blank" >RIV/00216275:25510/16:39901458 - isvavai.cz</a>
Result on the web
<a href="http://www.tandfonline.com/doi/full/10.1080/23248378.2016.1253511" target="_blank" >http://www.tandfonline.com/doi/full/10.1080/23248378.2016.1253511</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1080/23248378.2016.1253511" target="_blank" >10.1080/23248378.2016.1253511</a>
Alternative languages
Result language
angličtina
Original language name
A new friction condition identification approach for wheel-rail interface
Original language description
In recent years, there has been an increasing interest in designing intelligent vehicles such that they can take necessary actions according to the environmental changes around them and they can inform decision makers about these changes. For safer and cheaper transport, dynamic modelling of these vehicles and identification of such changes in environment based on these models plays an important role. In this study, a sigma point Kalman filter-based scheme (i.e. joint unscented Kalman filter) is proposed to estimate maximum friction coefficient as a parameter in wheel-rail interface. This estimation scheme uses interpretation of lateral and yaw dynamic response of a wheelset to identify maximum friction coefficient. This joint unscented Kalman filter-based approach provides information about the friction conditions in wheel-rail interface without post-processing of estimated data.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JO - Land transport systems and equipment
OECD FORD branch
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Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal of Rail Transportation
ISSN
2324-8378
e-ISSN
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Volume of the periodical
Neuveden
Issue of the periodical within the volume
13.11.2016
Country of publishing house
GB - UNITED KINGDOM
Number of pages
18
Pages from-to
1-18
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-84994850957