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.
SYSTEM AND METHOD FOR ANALYSING RAILWAY RELATED DATA
SYSTEM UND VERFAHREN ZUR ANALYSE VON EISENBAHNBEZOGENEN DATEN
SYSTÈME ET PROCÉDÉ D'ANALYSE DE DONNÉES FERROVIAIRES
2025-02-19
Patent
Electronic Resource
English