Patent classifications
B61K9/00
Automated in motion railway seismic wheel failure detection system
Systems and methods for detecting in motion railcar seismic data generated by defective railcar axles of a train traveling on a track. The method uses two or more seismic sensors on the side of the track to capture seismic noise generated by railcar wheels. A wheel that exceeds a preset seismic noise threshold in amplitude, will trigger a wheel tracking algorithm that calculates seismic phase shift data related to the actively tracked wheel noise level, to determine the precise location, in real time, of the faulty wheel carriage while moving. Knowing the precise location of the tracked wheel allows the system to isolate the railcar and capture the railcar and wheel carriage identification information. Subsequently, a railcar log is made on a computer database with the railcar identification information and made available to control centers via ground or satellite links.
Automated in motion railway seismic wheel failure detection system
Systems and methods for detecting in motion railcar seismic data generated by defective railcar axles of a train traveling on a track. The method uses two or more seismic sensors on the side of the track to capture seismic noise generated by railcar wheels. A wheel that exceeds a preset seismic noise threshold in amplitude, will trigger a wheel tracking algorithm that calculates seismic phase shift data related to the actively tracked wheel noise level, to determine the precise location, in real time, of the faulty wheel carriage while moving. Knowing the precise location of the tracked wheel allows the system to isolate the railcar and capture the railcar and wheel carriage identification information. Subsequently, a railcar log is made on a computer database with the railcar identification information and made available to control centers via ground or satellite links.
Monitoring system for monitoring the axles of unpowered transport units
The monitoring system comprises an axle traveled distance module connected to at least one transport unit monitoring system and adapted to determine, for each of the axle identifiers detected by at least one of the transport unit monitoring systems, an axle traveled distance increment during a corresponding acquisition time period in function of transport unit traveled distance increments during this acquisition time period of the at least one transport unit monitoring system that detected this axle identifier during this acquisition time period.
Monitoring system for monitoring the axles of unpowered transport units
The monitoring system comprises an axle traveled distance module connected to at least one transport unit monitoring system and adapted to determine, for each of the axle identifiers detected by at least one of the transport unit monitoring systems, an axle traveled distance increment during a corresponding acquisition time period in function of transport unit traveled distance increments during this acquisition time period of the at least one transport unit monitoring system that detected this axle identifier during this acquisition time period.
Light emission power control apparatus and method
A system and method for adjusting light emitter output for a railway track inspection system based on data feedback from one or more sensors.
Air-coupled ultrasonic inspection of rails
In some example implementations, there is provided a method. The method may include generating, by an air-coupled transducer, a first ultrasonic guided wave to cause the generated ultrasonic guided wave to propagate into a rail being tested for one or more defects, wherein a frequency of the first ultrasonic guided wave is controlled by at least changing the frequency of a voltage sent to the air-coupled transducer generating the first ultrasonic guided wave; receiving, by a receiver, a second ultrasonic guided wave, wherein the second ultrasonic guided wave is received from the rail; and analyzing a signal representative of the received second ultrasonic guided wave to detect the one or more defects in the rail. Related systems, methods, and articles of manufacture are also provided.
Air-coupled ultrasonic inspection of rails
In some example implementations, there is provided a method. The method may include generating, by an air-coupled transducer, a first ultrasonic guided wave to cause the generated ultrasonic guided wave to propagate into a rail being tested for one or more defects, wherein a frequency of the first ultrasonic guided wave is controlled by at least changing the frequency of a voltage sent to the air-coupled transducer generating the first ultrasonic guided wave; receiving, by a receiver, a second ultrasonic guided wave, wherein the second ultrasonic guided wave is received from the rail; and analyzing a signal representative of the received second ultrasonic guided wave to detect the one or more defects in the rail. Related systems, methods, and articles of manufacture are also provided.
Aerial camera system and method for determining size parameters of vehicle systems
- Aadeesh Shivkant Bhagwatkar ,
- Sharon DSouza ,
- Krishna Chaitanya Narra ,
- Brad Thomas Costa ,
- Seneca Snyder ,
- Jerry Duncan ,
- Mark Bradshaw Kraeling ,
- Michael Scott Miner ,
- Shannon Joseph Clouse ,
- Anwarul Azam ,
- Matthew Lawrence Blair ,
- Nidhi Naithani ,
- Dattaraj Jagdish Rao ,
- Anju Bind ,
- Sreyashi Dey Chaki ,
- Scott Daniel Nelson ,
- Nikhil Uday Naphade ,
- Wing Yeung Chung ,
- Daniel Malachi Ballesty ,
- Glenn Robert Shaffer ,
- Jeffrey James Kisak ,
- Dale Martin DiDomenico
An aerial system and method use a distance sensor to measure spatial distances between the distance sensor and plural vehicles in a vehicle system formed from the vehicles operably coupled with each other during relative movement between the distance sensor and the vehicle system. The spatial distances measured by the distance sensor are used to determine a size parameter of the vehicle system based on the spatial distances that are measured.
Aerial camera system and method for determining size parameters of vehicle systems
- Aadeesh Shivkant Bhagwatkar ,
- Sharon DSouza ,
- Krishna Chaitanya Narra ,
- Brad Thomas Costa ,
- Seneca Snyder ,
- Jerry Duncan ,
- Mark Bradshaw Kraeling ,
- Michael Scott Miner ,
- Shannon Joseph Clouse ,
- Anwarul Azam ,
- Matthew Lawrence Blair ,
- Nidhi Naithani ,
- Dattaraj Jagdish Rao ,
- Anju Bind ,
- Sreyashi Dey Chaki ,
- Scott Daniel Nelson ,
- Nikhil Uday Naphade ,
- Wing Yeung Chung ,
- Daniel Malachi Ballesty ,
- Glenn Robert Shaffer ,
- Jeffrey James Kisak ,
- Dale Martin DiDomenico
An aerial system and method use a distance sensor to measure spatial distances between the distance sensor and plural vehicles in a vehicle system formed from the vehicles operably coupled with each other during relative movement between the distance sensor and the vehicle system. The spatial distances measured by the distance sensor are used to determine a size parameter of the vehicle system based on the spatial distances that are measured.
Method and system for operating a vehicle system to reduce wheel and track wear
A method includes determining a location of a vehicle system traveling on a track during a first trip relative to a curve in the track. The method also includes monitoring a temperature profile at a contact interface between a wheel of the vehicle system and a rail of the track that contacts the wheel as the vehicle system traverses the curve in the track. The temperature profile is based, at least in part, on a first speed profile of the vehicle system during the first trip. The method further includes analyzing the temperature profile to detect a flanging event between the wheel and the rail as the vehicle system traverses along the curve in response to the temperature profile indicating that a flange of the wheel engages a side of the rail.