Disclosed is a method for determining a train-type on the basis of railway related vibration data, the method comprising the steps of collecting a first dataset (101-1) of a first train passing a first sensor applied to a first railway segment at a first location; collecting a second dataset (101-2) of a second train passing a second sensor applied to a second railway segment at a second location; encoding the first dataset (101-1) into a first encoded dataset (104-1) comprising at least a first train-type component (102-1) and a first location component (103-1); encoding the second dataset (101-2) into a second encoded dataset (104-2) comprising a second train-type component (102-2) and a second location component (103-2); and feeding the first and the second encoded dataset components (104-1, 104-2) into a neural network (NN) and applying an unsupervised machine learning approach for training the neural network to differentiate between train- types. Furthermore, a corresponding system and computer program product is disclosed.


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    Title :

    SYSTEM AND METHOD FOR ANALYSING RAILWAY RELATED DATA


    Additional title:

    SYSTEM UND VERFAHREN ZUR ANALYSE VON EISENBAHNBEZOGENEN DATEN
    SYSTÈME ET PROCÉDÉ D'ANALYSE DE DONNÉES FERROVIAIRES


    Contributors:

    Publication date :

    2025-02-19


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    B61L Leiten des Eisenbahnverkehrs , GUIDING RAILWAY TRAFFIC / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen



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