Abstract: A method for ordering the vehicles of a fleet of vehicles according to a maintenance need includes determining a time series for each vehicle in the fleet. The time series includes, for each time step, an instantaneous value of at least one quantity of interest obtained from monitoring events acquired by a system for monitoring the vehicles of the fleet. The time series is analyzed over a predetermined time interval, considering the time series determined for all the vehicles of the fleet, and considering that at each time step, the state of a vehicle is either a “normal” state or an “abnormal” state. An optimal sequence of states over the predetermined time interval can thereby be obtained. A list of the vehicles of the fleet can be ordered according to the properties of bursts detected for each of the vehicles.

Abstract: Method for determining the relationship between a track-circuit current signal and a railway vehicle location, including sending, by a track circuit, a current signal across a railway track block, measuring the current signal for different railway vehicles running successively on the railway track block, thus obtaining a plurality of railway vehicle move samples, normalizing the railway vehicle move samples, initializing a reference curve, and applying a Weighted Dynamic Time Warping Barycenter Averaging algorithm to calculate a final reference curve representing the relationship between the measured track-circuit current signal and the railway vehicle location on the railway track block.

Abstract: Disclosed is a method for determining the relationship between a track-circuit current signal and a railway vehicle location, including: sending, by a track circuit, current signal across a railway track block; measuring the current signal for different railway vehicles running successively on the railway track block; aligning the measured current signals and calculating a reference curve as the average value of all the aligned curves by using a Dynamic Time Warping algorithm, this reference curve representing the relationship between the track-circuit current signal and the railway vehicle location on the railway track block.

Abstract: A computer implemented method is for determining railway vehicle movement profile type of a railway vehicle movement profile. The railway vehicle movement profile includes a sequence of measured transmitted currents of a transceiver of a track circuit with respect to the time.

Abstract: Method for determining the relationship between a track-circuit current signal and a railway vehicle location, including sending, by a track circuit, a current signal across a railway track block, measuring the current signal for different railway vehicles running successively on the railway track block, thus obtaining a plurality of railway vehicle move samples, normalizing the railway vehicle move samples, initializing a reference curve, and applying a Weighted Dynamic Time Warping Barycenter Averaging algorithm to calculate a final reference curve representing the relationship between the measured track-circuit current signal and the railway vehicle location on the railway track block.

Abstract: A method and system for health assessment of a track circuit and/or of a track section, the track circuit being configured for detecting the presence of a vehicle on the track section between a transmitting end and a receiving end of the track circuit. The method, implemented by an electronic device, comprises obtaining, from a sensor device placed near the receiving end, samples of an electrical parameter of an electric signal transmitted between the transmitting end and the receiving end of the track section, forming a temporal series of received samples, applying an automatic clustering algorithm to separate the received samples in a predetermined number of clusters, selecting one of the clusters and determining, for the selected cluster, a first peak value of the received samples classified within the selected cluster, and calculating a track circuit health indicator depending on the first peak value determined for the selected cluster.

Abstract: Method for detecting rail switches degradation and failures, the method having the steps of applying a Discrete Wavelet Transform to stored measurement data relative to a switch move to be analysed and obtaining a feature vector associated with said switch move and including Discrete Wavelet Transform coefficients delivered by the applied Discrete Wavelet Transform; comparing the obtained feature vector with feature vectors associated with rail switch moves previously obtained and associating each to a respective health class among several given health classes; and determining a health class for the said switch move to be analyzed by selecting one of the health classes associated with the previously obtained feature vectors based upon the comparison step.

Abstract: Method, system and software code for calibrating a rail track circuit comprising a plurality of rails coupled to form a track section having a predefined length, a transmit processing unit coupled to the track section at a first end of the track section, and a receive processing unit coupled at the second end of the track section. A transfer function between a transmit voltage applied by the transmit processing unit at the track section and a resulting receive current detected at the receive processing unit is first determined and then applied to the rail track circuit for automatic initial calibration or recalibration.

Abstract: Disclosed is a method for determining the relationship between a track-circuit current signal and a railway vehicle location, including: sending, by a track circuit, current signal across a railway track block; measuring the current signal for different railway vehicles running successively on the railway track block; aligning the measured current signals and calculating a reference curve as the average value of all the aligned curves by using a Dynamic Time Warping algorithm, this reference curve representing the relationship between the track-circuit current signal and the railway vehicle location on the railway track block.

Abstract: Method, system and software code for calibrating a rail track circuit comprising a plurality of rails coupled to form a track section having a predefined length, a transmit processing unit coupled to the track section at a first end of the track section, and a receive processing unit coupled at the second end of the track section. A transfer function between a transmit voltage applied by the transmit processing unit at the track section and a resulting receive current detected at the receive processing unit is first determined and then applied to the rail track circuit for automatic initial calibration or recalibration.

Abstract: A method and system for health assessment of a track circuit and/or of a track section, the track circuit being configured for detecting the presence of a vehicle on the track section between a transmitting end and a receiving end of the track circuit. The method, implemented by an electronic device, comprises obtaining, from a sensor device placed near the receiving end, samples of an electrical parameter of an electric signal transmitted between the transmitting end and the receiving end of the track section, forming a temporal series of received samples, applying an automatic clustering algorithm to separate the received samples in a predetermined number of clusters, selecting one of the clusters and determining, for the selected cluster, a first peak value of the received samples classified within the selected cluster, and calculating a track circuit health indicator depending on the first peak value determined for the selected cluster.

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.

Abstract: Method for detecting rail switches degradation and failures, the method having the steps of applying a Discrete Wavelet Transform to stored measurement data relative to a switch move to be analysed and obtaining a feature vector associated with said switch move and including Discrete Wavelet Transform coefficients delivered by the applied Discrete Wavelet Transform; comparing the obtained feature vector with feature vectors associated with rail switch moves previously obtained and associating each to a respective health class among several given health classes; and determining a health class for the said switch move to be analyzed by selecting one of the health classes associated with the previously obtained feature vectors based upon the comparison step.

Abstract: This invention relates to a method of controlling and a control system (100) for a superconductive rotating electric machine (200) comprising at least one superconductive winding (102; 103), where the control system (100) is adapted to control a power unit (101) supplying during use the at least one superconductive winding (102; 103) with power or receiving during use power from the at least one superconductive winding (102; 103), wherein the control system (100) is further adapted to, for at least one superconductive winding (102; 103), dynamically receive one or more representations of one or more actual values (110, 111) of one or more parameters for a given superconductive winding (102; 103), each parameter representing a physical condition of the given superconductive winding (102; 103), and to dynamically derive one or more electrical current values to be maintained in the given superconductive winding (102; 103) by the power unit (101) where the one or more electrical current values is/are derived taki