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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

  • Czech description

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

Result continuities

  • Project

  • 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

  • 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

  • EID of the result in the Scopus database

    2-s2.0-84994850957