An improved End-of-Train device suitable for mounting on a train is disclosed. The End-of-Train device comprises an audio input unit configured to detect an audio input associated with at least one event, and to generate an audio signal based on the audio input. The event is one of an utterance of a voice command by a railway personnel or an incident that potentially impacts an operation of the train. The End-of-Train device further comprises a memory and a processing unit communicatively coupled to the memory. The processing unit is configured to execute one or more instructions in the memory to analyze an audio input to identify one or more actions to be performed by the End-of-Train device and to initiate execution of the one or more actions identified. Further, a notification may be generated based on execution of the one or more actions.

A vehicle control system may be provided for controlling adhesion of wheels to a route surface. The control system includes one or more processors configured to determine adhesion values representative of adhesion between the wheels of a vehicle and the route surface based on angular speeds of the wheels. An artificial intelligence neural network may generate a target slip value for the wheels that are coupled with at least two different axles of the vehicle by processing the adhesion values and modifying the target slip value to increase an average value of the adhesion values of the wheels. The one or more processors may control a torque applied to at least one of the axles based on the target slip value.

An improved method for investigating a functional behavior of a component of a technical installation includes comparing a signal of the component to be investigated and representing the functional behavior of the component with a reference signal which describes an average functional behavior of identical components. During the comparison, a comparison variable describing the deviation of the signal from the reference signal is determined. In addition, a probability of the occurrence of the comparison variable is determined by using a predefinable distribution of a multiplicity of such comparative variables. A computer program and a computer readable storage medium are also provided.

A monitoring device of the open or closed state of an electric line is disclosed. The device includes a first connection terminal and a second terminal connected to the electric line, a current generator that provides a non-zero reference current when there is a voltage greater than a predetermined minimum voltage Vmin at its ends and provides a zero current when there is a voltage less than the predetermined minimum voltage Vmin at its ends, at least one opto-isolator means including a lighting device and a respective photosensitive semi-conductor element, and a current detection and power supply module that detects current flowing therein, supplies a supply current to the lighting device when the detected current is equal to or greater than the reference current, and supplies a zero supply current to the lighting device when the detected current is less than the reference current.

An on-board device is configured for reading a telegram of a balise installed at a point along a route followed by a guided vehicle in which the on-board device is to be installed. The on-board device includes a receiver having an antenna for picking up the telegram transmitted by the balise and delivering a reception signal to a processing unit. The processing unit is configured for processing the reception signal in order to read the telegram sent by the balise. A test component is configured for adding a test signal to the reception signal before its processing by the processing unit. The test signal is configured to act as a noise for limiting a sensitivity of the receiver, making it therefore impossible to read a cross-talk signal. A method for protecting the on-board device from cross-talk is also provided.

A data extraction apparatus includes a parameter analysis unit that performs analysis of learning text information, extracts words that serve as machine learning parameters, and classifies the words into types of parameters; a grouping settings display unit that finalizes search-target data and clustering conditions based on the parameters; at least one clustering training data extraction unit that extracts training data from a database based on the search-target data and the clustering conditions; at least one clustering unit that performs clustering based on the clustering condition on the training data; an applicable-clustering determination unit that performs analysis of search text information and identifies search-target data serving as a narrowing-down condition and which clustering unit is to be operated; and a search range specification unit that causes the clustering unit to operate and extracts a narrowed range of search-target data from the database based on an operation result.

An example remote control locomotive (RCL) system includes a consist having at least one locomotive and at least one pneumatic brake pipe, and an RCL controller. The RCL controller includes a memory configured to store at least one pressurization reference including correspondence relationships between pneumatic brake pipe pressurization time periods and pneumatic brake pipe air volumes, and a processor configured to monitor a time period to pressurize the at least one pneumatic brake pipe of the consist. The processor is also configured to compare the monitored time period to pressurize the at least one pneumatic brake pipe to the pressurization reference, and determine a fault or a number of locomotives in the consist according to the comparison of the monitored time period to pressurize the at least one pneumatic brake pipe to the pressurization reference.

In one aspect, a method of monitoring a mobile railway asset is provided including detecting a strain of a component of a mobile railway asset and gathering data associated with a vibration of the mobile railway asset. The method includes comparing the strain of the component and the data associated with the vibration of the mobile railway asset. The method includes determining a load state of the mobile railway asset based at least in part on the comparison of the strain of the component and the data associated with the vibration of the mobile railway asset.

A device configured to process data comprised in data messages passing on message buses of a rolling stock comprises: a universal input interface receiving data messages complying with the three following physical layers: RS232; RS485; CAN. From the message buses, the data messages comprise data; a processing engine receiving a remote requested configuration comprising one or more processing rules; a standardizing unit decoding the data messages into standardized data streams in function of the remote requested configuration; and wherein the processing engine further applies one or more of the one or more processing rules of the standardized data streams in function of the remote requested configuration.

A monitoring device includes a progress execution unit that causes a combination of an irradiation unit and a light reception unit to progress inside a space that is tubular inside, the irradiation unit being for irradiating, with laser light, an exposed object that is an object exposed in the space of a tubular object being an object having the space, the light reception unit converting return light of the laser light from the exposed object into an electric signal; and a section specification unit that specifies, based on the electric signal, a predetermined-state section position being a position of a predetermined-state section that is, among sections of the exposed object that are irradiated with the laser light, the section indicating a predetermined state, and outputs the resultant.