The presented paper concerns the development of condition monitoring system for railroad switches and crossings that utilizes vibration data. Successful utilization of such system requires a robust and efficient train type identification. Given the complex and unique dynamical response of any vehicle track interaction, the machine learning was chosen as a suitable tool. For design and validation of the system, real on-site acceleration data were used. The resulting theoretical and practical challenges are discussed.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Train Type Identification at S&C


    Beteiligte:


    Erscheinungsdatum :

    2020




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




    TRAIN TYPE IDENTIFICATION SYSTEM, AND TRAIN TYPE IDENTIFICATION METHOD

    KAWABE KEIICHI / ISHIKAWA TOMOYUKI / KAWASAKI EIJI | Europäisches Patentamt | 2017

    Freier Zugriff

    Train type identification system and method

    DONG YANBIN / LI JIAN / WANG YONGMING et al. | Europäisches Patentamt | 2025

    Freier Zugriff

    TRAIN IDENTIFICATION SYSTEM

    MATSUDA NAOTAKE | Europäisches Patentamt | 2022

    Freier Zugriff

    Train identification system

    Fosse, J. / Diberder, M.le | Tema Archiv | 1973


    train identification system

    Fosse, J. / Diberder, M. | Tema Archiv | 1973