An inspection system for inspecting the track of an amusement ride with at least one rail. A vehicle is provided that is designed to ride along the track. The vehicle supports cameras. The cameras are positioned in unobstructed areas. The cameras image the rail from different angles as the vehicle rides along the track. The images recorded by the cameras are reviewed to identify any defect or issue with the rail or its supporting framework that may impact from the safety of the ride.

An inspection system for inspecting the track of an amusement ride with at least one rail. A vehicle is provided that is designed to ride along the track. The vehicle supports cameras. The cameras are positioned in unobstructed areas. The cameras image the rail from different angles as the vehicle rides along the track. The images recorded by the cameras are reviewed to identify any defect or issue with the rail or its supporting framework that may impact from the safety of the ride.

A method for monitoring a service state of a switch rail based on feature fusion includes: mounting an ultrasonic guided wave monitoring apparatus on the switch rail to perform online defect identification and simulation of the switch rail, and establishing a baseline signal library, where the ultrasonic guided wave monitoring apparatus generates a guided wave signal propagating along the switch rail and receives an echo signal of the guided wave signal; performing feature extraction; extracting a healthy feature vector, and nondimensionalizing; selecting a defect-sensitive feature, and acquiring, by a BPSO algorithm, a best feature subset; training an LS-SVM through the best feature subset by a cross-validation method to acquire an automatic online defect identification model of the switch rail based on the LS-SVM; and monitoring the switch rail by the automatic online defect identification model of the switch rail based on the LS-SVM.

A method for monitoring a service state of a switch rail based on feature fusion includes: mounting an ultrasonic guided wave monitoring apparatus on the switch rail to perform online defect identification and simulation of the switch rail, and establishing a baseline signal library, where the ultrasonic guided wave monitoring apparatus generates a guided wave signal propagating along the switch rail and receives an echo signal of the guided wave signal; performing feature extraction; extracting a healthy feature vector, and nondimensionalizing; selecting a defect-sensitive feature, and acquiring, by a BPSO algorithm, a best feature subset; training an LS-SVM through the best feature subset by a cross-validation method to acquire an automatic online defect identification model of the switch rail based on the LS-SVM; and monitoring the switch rail by the automatic online defect identification model of the switch rail based on the LS-SVM.

A rail flaw detector is configured for locating flaws in rails of a railroad track and for use with a vehicle travelling on the railroad track. The detector includes at least one signal applicator configured for applying ultrasonic signals to the rail and for receiving return signals; a mechanical subsystem connected to the applicator and to the vehicle and configured for maintaining the at least one signal applicator in operational position on the track. A human-machine interface is connected to the at least one signal applicator, is configured to control the detector and to monitor sensed rail condition. In one embodiment, the human-machine interface includes a schematic display of the rail being monitored and at least one touch screen control for controlling the mechanical subsystem and the at least one signal applicator.

A system for nondestructive evaluation of railroad rails, includes a carriage including a plurality of wheels movably supporting the carriage on the rails, a source of vibration mounted on the carriage and connected to transmit vibrations of a preselected frequency to test regions on the rails through the wheels to cause an increase in temperature of the rails at locations of flaws in the test regions, an infrared detector for recording thermal images of the test regions to detect the increase in temperature of the location of the flaws, a controller connected to actuate the infrared detector to record the thermal images of the vibrations impacting the test regions, and store the thermal images recorded by the infrared detector.

Rail vehicle (1) having rail wheels (3,4) accommodated to guide the rail vehicle along a railway track (2) and said vehicle comprising means for detection of a flaw or flaws in the railway track, wherein the rail vehicle is provided with a noncontact vibrometer (9,10) which is arranged to measure vibrational movement of the railway track surface.

Rail vehicle (1) having rail wheels (3,4) accommodated to guide the rail vehicle along a railway track (2) and said vehicle comprising means for detection of a flaw or flaws in the railway track, wherein the rail vehicle is provided with a noncontact vibrometer (9,10) which is arranged to measure vibrational movement of the railway track surface.

The method and device to ensure a safety of people's life and health is based on measurements of spontaneous electromagnetic radiation caused by a deformation from a structure or device, a nucleation and growth of plant cells and living organisms; calculating an energy stored in a portion of the structure or cells based on a measured intensity; performing a comparison of the energy stored with a critical value for the structure and pathological changes in the cells; and indicate a potential failure of the structure or a level of pathological changes based on the performed comparison.

A system and method is disclosed for predicting and comparing wear scenarios in a rail system. The method can include generating and running a contact model of the interaction between a rail and a train car to produce a simulated loading on the rail for a predetermined time period; generating and running a wear model based on the material properties and/or friction modifier properties of the rail using the simulated loading to produce a simulated wear profile of the rail for the predetermined time period; obtaining a grinding profile to be performed on the rail during the predetermined time period; and generating an updated rail profile by modifying the rail profile by the simulated wear profile and the grinding profile. The method can predict and compare crack growth over time, and provide a financial model and comparison of costs and benefits for different maintenance protocols for the rail system.