Patent classifications
B61K9/00
Apparatus and method of reducing slip/slide of railcar
A control apparatus mounted on a railcar including a plurality of wheelsets includes: a torque basic value setting portion configured to set a basic value of torque applied to each of the plurality of wheelsets; an adhesion determining portion configured to determine whether or not each of the plurality of wheelsets adheres to a rail; and a torque correcting portion configured to correct the basic value of the torque to obtain a corrected value that is smaller than the basic value. The plurality of wheelsets includes one or more specific wheelsets and one or more general wheelsets other than the specific wheelsets. The torque correcting portion calculates the corrected value of the torque, applied to the general wheelset, in accordance with a first rule and calculates the corrected value of the torque, applied to the specific wheelset, in accordance with a second rule different from the first rule.
METHOD AND SYSTEM FOR PERFORMING AND COMPARING FINANCIAL ANALYSIS OF DIFFERENT RAIL LIFE SCENARIOS IN A 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.
Process for detecting a derailment of a rail vehicle
A process for detecting a derailment of a rail vehicle having two or more rail vehicle parts and one or more articulations through which adjacent rail vehicle parts are rotatably connected with one another includes determining an angle of rotation between adjacent rail vehicle parts, and/or a quantity derived from the angle of rotation. The process further includes comparing the angle of rotation or the derived quantity with at least one reference value or threshold, or with at least one reference value range or threshold range. A test criterion indicating whether or not there is a derailment is defined based on the at least one reference value or threshold, and/or an expected relationship of multiple angles of rotation, and/or an expected relationship of the multiple quantities derived from the angles of rotation, relative to one another. The method further includes determining whether or not the test criterion is met.
Process for detecting a derailment of a rail vehicle
A process for detecting a derailment of a rail vehicle having two or more rail vehicle parts and one or more articulations through which adjacent rail vehicle parts are rotatably connected with one another includes determining an angle of rotation between adjacent rail vehicle parts, and/or a quantity derived from the angle of rotation. The process further includes comparing the angle of rotation or the derived quantity with at least one reference value or threshold, or with at least one reference value range or threshold range. A test criterion indicating whether or not there is a derailment is defined based on the at least one reference value or threshold, and/or an expected relationship of multiple angles of rotation, and/or an expected relationship of the multiple quantities derived from the angles of rotation, relative to one another. The method further includes determining whether or not the test criterion is met.
Power management scheme for vibration harvester sensor
A system for managing sensor power to a remote wireless condition monitoring sensor installed on a railway rolling stock. The system provides an energy harvester that derives wireless sensor power, a rechargeable battery connected to the energy harvester for supplying energy to the rechargeable battery and for powering the system, an antenna for sending signals to a remote database based on measured vibration and acceleration data, a central processing unit having a memory an arithmetic logic unit and a control unit for controlling a function of the system. The remote wireless condition monitoring sensor is protected from potentially fatal over voltage and under voltage conditions and the operating life is prolonged by entering dedicated modes of operation based on battery voltage and available energy capacity as instructed by the central processing unit. Also, a method for carrying out the function of the system.
Power management scheme for vibration harvester sensor
A system for managing sensor power to a remote wireless condition monitoring sensor installed on a railway rolling stock. The system provides an energy harvester that derives wireless sensor power, a rechargeable battery connected to the energy harvester for supplying energy to the rechargeable battery and for powering the system, an antenna for sending signals to a remote database based on measured vibration and acceleration data, a central processing unit having a memory an arithmetic logic unit and a control unit for controlling a function of the system. The remote wireless condition monitoring sensor is protected from potentially fatal over voltage and under voltage conditions and the operating life is prolonged by entering dedicated modes of operation based on battery voltage and available energy capacity as instructed by the central processing unit. Also, a method for carrying out the function of the system.
METHOD AND SYSTEM FOR PREDICTING WEAR IN A 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.
METHOD AND SYSTEM FOR PREDICTING WEAR IN A 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.
METHOD AND SYSTEM FOR PREDICTING WEAR AND CRACK GROWTH IN A 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.
MONITORING AND DIAGNOSTICS SYSTEM FOR A SMART FREIGHT CAR
A monitoring and diagnostics system for a rail car that includes multiple sensor units, each comprising sensor devices and a data transfer unit, wherein the set of sensor units includes at least one power harvester, which is configured to convert ambient energy into electrical energy, and one energy storage means, which can be configured to store the electrical energy generated by the power harvester, a sensor hub which includes a communication subsystem and a receiver, wherein the data transfer units are configured, so that the sensor units transfer detected/measured data to the sensor hub and the communication subsystem is configured, so that the sensor hub transfers the data to the receiver, either with cable or wirelessly.