The invention provides a railway condition monitoring sensor device attached to a railway bearing of a railway vehicle including at least one vibration sensor; means for detecting movement of the railway vehicle; a control unit for processing at least the signals obtained by the vibration sensor to determine a health parameter indicating the bearings state of health. The control unit triggers measurements based on at least one predetermined condition; and a wireless communication device for communicating the health parameter to a monitoring and control server. The control unit configured to be operated in an energy-saving sleep mode and in at an activated mode. The control unit is configured to switch from the sleep mode to the activated mode upon detecting that a predetermined set of conditions is met. The predetermined set of conditions includes the condition that the means for detecting the movement detects that the railway vehicle is moving.

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.

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.

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.

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.

In one aspect, a mobile railway asset monitoring apparatus is provided that includes a sensor configured to produce a signal indicative of a rotation of a wheelset of a mobile railway asset. The apparatus further includes a processor to receive data corresponding to a ground speed of the mobile railway asset. The processor is operably coupled to the sensor, the processor configured to estimate a running dimension of the wheelset based at least in part on the rotation of the wheelset and the ground speed of the mobile railway asset. The processor is configured to determine at least one parameter of the mobile railway asset based at least in part on the running dimension of the wheelset.

An on-board monitoring system for bogies or railroad trucks monitors components over time. The system is modular comprising a first modular device for mounting on the vehicle next to a component to be monitored and passing data on to one or more further modular devices. Focussed data acquisition and ongoing monitoring of a component becomes possible. Data transmission and analysis is also considered.

An on-board monitoring system for bogies or railroad trucks monitors components over time. The system is modular comprising a first modular device for mounting on the vehicle next to a component to be monitored and passing data on to one or more further modular devices. Focussed data acquisition and ongoing monitoring of a component becomes possible. Data transmission and analysis is also considered.

A method for monitoring and diagnosing components of a rail vehicle, as a singular rail vehicle or as part of a rail vehicle train consisting of a plurality of rail vehicles, with regard to the necessary repair or maintenance, as appropriate, of at least one component, in which at least one measuring device captures at least one measurement variable, which is relevant to an assessment of a necessary repair or maintenance, as appropriate, of the component, is performed in which supplementation, extension, modification or adaptation of evaluation software implemented in an evaluation device is performed based on instructions, data and/or software modules sent from a control center to the evaluation device.

A method for monitoring and diagnosing components of a rail vehicle, as a singular rail vehicle or as part of a rail vehicle train consisting of a plurality of rail vehicles, with regard to the necessary repair or maintenance, as appropriate, of at least one component, in which at least one measuring device captures at least one measurement variable, which is relevant to an assessment of a necessary repair or maintenance, as appropriate, of the component, is performed in which supplementation, extension, modification or adaptation of evaluation software implemented in an evaluation device is performed based on instructions, data and/or software modules sent from a control center to the evaluation device.