Abstract: The present invention relates to a system for monitoring a railway network, the system comprising at least one sensor component configured to sample sensor data relevant to the railway network, at least one processing component configured to process the sensor data, at least one storing component configured to store the sensor data relevant to the railway network and the processed sensor data, and/or at least one analyzing component. The present invention also refers to a method for monitoring a railway network, the method comprising the steps of: retrieving at least one point machine data, processing the least one point machine data to generate at least one processed point machine data, and generating at least one railway health hypothesis based on the at least one processed point machine data.

Abstract: The present invention discloses a system and a method for automatic real-time data generation, particularly in a railway infrastructure. This is facilitated by providing a processing component, a model analyzer, wherein the model analyzer is configured to generate at least one simulation model and a weight analyzer. The weight analyzer is configured to associated statistical weight to at least on infrastructural feature.

Abstract: The present invention relates to a method and system using multiple data sources for unsupervised and/or semi supervised algorithms to derive features such as speed of the train, length of the train, type of wagons, etc. Thus, classifying train categories. The invention provides a method and a system configured for analysing railway related vibration data. The invention is configured for collecting at least a first dataset from a sensor applied to the railway infrastructure. Further, it is configured for collecting at least a second dataset from a scheduling component. The at least one subset of the first dataset is curated with the second dataset to obtain first training database. The invention further discloses a method comprising the step of predicting at least a likelihood of one train belonging to at least one train-type.