Abstract: Method for detecting switch degradation and failures having steps of collecting and labelling, into predefined categories, switch machine data relative to a predetermined controlled switch placed in supervised environment and conditions; storing the labeled data of each movement switch in a database and pre-processing the labelled data. A learning LSTM weights and cell parameters by performing a training phase on a LSTM network using the pre-processed data, thus obtaining a final LSTM model inclusive of architecture and parameters of the LSTM network suitable for analyzing switch data relative to movements of switches actually located on a railway track; collecting data relative to the movements of a switch located on a railway track; and classifying the switch movements into said categories by applying the collected data to the final LSTM, thus detecting switch degradations and failures.