A wireless sensor system captures wheel vibration data for a machine learning model to calculate ground speed without relying on GPS signals.
A speech recognition system digitizes train operator voice commands for automated monitoring.
A rail vehicle camera input element moves between travel and capture positions to align with monitored regions.
A vehicle system calculates separation distance between coupled units using time delays at designated locations to determine slack conditions.
Adaptive sensor nodes harvest energy to detect derailment conditions, reducing false alerts from slid flats while conserving power.
Onboard sensors detect routing device states and communicate data to an off-board database for real-time vehicle control.
A monitoring unit checks acceleration sensor signals against reference values to detect defects.
A hybrid vehicle trip planning control system dynamically manages power flows between the engine and energy storage device.
A dual communication architecture separates onboard networks into distinct public and private wireless access points.
Segmenting shutdown and feedback paths allows independent verification of de-energization, reducing implementation cost while maintaining high safety standards.
Dynamic radio coupling replaces mechanical couplers with wireless links, eliminating cabling complexity and enabling flexible train configurations.
A railway track break detection device monitors electrical parameters along continuous rails to identify structural discontinuities without insulating splints.
Onboard processing unit filters decelerometer tilt signals to determine actual locomotive acceleration during wheel slip or slide events.
A ground apparatus performs radio polling to acquire train location information from onboard units.