System for determining conicity of a wheel based on measured vibrations

Patent metadata

Field	Value
Publication number	US-10775271-B2
Application number	US-201615370749-A
Country	US
Kind code	B2
Filing date	Dec 6, 2016
Priority date	Aug 22, 2012
Publication date	Sep 15, 2020
Grant date	Sep 15, 2020

Abstract

A sensor system includes one or more sensors that sense vibrations of a vehicle and one or more processors that can determine a speed of the vehicle and determine whether the vibrations occurring at one or more frequencies of interest (that are based on the speed of the vehicle) indicate damage to a propulsion system of the vehicle. The one or more processors optionally may determine a hunting frequency of a wheel and axle set and/or a lateral acceleration of the wheel and axle set from the vibrations. The one or more processors can determine a conicity of a wheel in the wheel and axle set based on the hunting frequency and/or the lateral acceleration that is determined.

First claim

What is claimed is:

1. A system comprising:
sensors configured to measure characteristics of a vehicle, at least a first characteristic of the characteristics representative of vibrations of the vehicle and at least second characteristic of the characteristics representative of a moving speed of the vehicle, the sensors configured to output data indicative of the vibrations of the vehicle and of the moving speed of the vehicle; and
one or more processors configured to receive the data indicative of the vibrations of the vehicle and of the moving speed of the vehicle from the sensors, the one or more processors configured to identify a peak vibration of the vibrations, wherein the peak vibration is the vibration with the largest magnitude in the frequency domain, the one or more processors also configured to determine a lateral acceleration of a wheel and axle set based on the data,
wherein the one or more processors are configured to determine a conicity of a wheel in the wheel and axle set by comparing the lateral acceleration that is determined from the data indicative of the vibrations of the vehicle, and the moving speed of the vehicle with conicity relationships between lateral accelerations and moving speeds, the conicity relationships associated with different wheel conicities,
wherein the one or more processors are configured to implement a responsive action responsive to determining that the conicity of the wheel in the wheel and axle set exceeds a designated threshold amount; and
wherein the one or more processors are configured to determine a hunting frequency of the wheel and axle set that represents a frequency at which the wheel and axle set laterally moves back-and-forth on the route in a direction that is transverse to a direction of movement of the vehicle on the route, wherein the one or more processors are configured to determine the hunting frequency based on the moving speed of the vehicle and the peak vibration of the vibrations.

2. The system of claim 1 , wherein the sensors include one or more accelerometers configured to be coupled with a gear box housing having a traction motor that rotates an axle of the wheel and axle set to rotate the wheel.

3. The system of claim 1 , wherein the one or more processors are configured to determine the lateral acceleration based on a magnitude of a peak vibration in the vibrations that are measured.

4. The system of claim 1 , wherein the vehicle is a locomotive and the route is a track, wherein the vehicle locomotive is configured to move along the track.

5. The system of claim 1 , wherein the one or more processors are configured to control movement of the vehicle.

6. The system of claim 5 , wherein the one or more processors are configured to change movement of the vehicle responsive to determining that the conicity of the wheel in the wheel and axle set exceeds the designated threshold amount.

7. The system of claim 5 , wherein the sensors include one or more accelerometers configured to be coupled with a gear box housing having a traction motor that rotates an axle of the wheel and axle set to rotate the wheel.

8. The system of claim 5 , wherein the one or more processors are configured to determine the hunting frequency also based on the moving speed of the vehicle.

9. The system of claim 5 , wherein the one or more processors are configured to determine the conicity of the wheel by comparing the moving speed of the vehicle and the lateral acceleration to relationships between moving speeds of the vehicle and lateral accelerations associated with different conicities of the wheel.

10. The system of claim 5 , wherein the vehicle is configured to travel along a track.

11. The system of claim 5 , wherein the one or more processors are configured to direct a communication system to communicate a signal to an off-board location to automatically schedule or request to schedule one or more of repair, inspection, or replacement of the wheel in the wheel and axle set responsive to determining that the conicity of the wheel in the wheel and axle set exceeds a designated threshold amount.

12. The system of claim 1 , wherein the one or more processors are configured to direct a communication system to communicate a signal to an off-board location to automatically schedule or request to schedule one or more of repair, inspection, or replacement of the wheel in the wheel and axle set responsive to determining that the conicity of the wheel in the wheel and axle set exceeds the designated threshold amount.

13. The system of claim 1 , wherein the one or more processors are configured to determine a hunting frequency of the wheel and axle set that represents a frequency at which the wheel and axle set laterally moves back-and-forth on a route in a direction that is transverse to a direction of movement of the vehicle on the route, wherein the one or more processors are configured to determine the hunting frequency from the following equation:

ω
=

V
⁢

δ
0

(

e
0

⁢

r
0

)

where ω represents the hunting frequency, V represents the moving speed of the vehicle or the wheel and axle set, δ 0 represents an average of the conicities of wheels in the wheel/axle set, e 0 represents a contact distance of the wheel and axle set, and r 0 represents an average of radii of the wheels in the wheel/axle set.

14. A system comprising:
sensors configured to measure vibrations of a vehicle and a moving speed of the vehicle, the one or more sensors configured to output data indicative of the vibrations and of the moving speed; and
one or more processors configured to receive the data from the sensors and to identify a peak vibration of the vibrations from the data, wherein the peak vibration is the vibration with the largest magnitude in the frequency domain, the one or more processors also configured to determine a hunting frequency and a lateral acceleration of a wheel and axle set from the peak vibration of the vibrations,
wherein the one or more processors are configured to determine a conicity of a wheel in the wheel and axle set based on the moving speed of the vehicle and one or more of the hunting frequency determined from the peak vibration of the vibrations or the lateral acceleration that is determined from the peak vibration of the vibrations, and
wherein the one or more processors are configured to change movement of the vehicle responsive to determining that the conicity of the wheel in the wheel and axle set exceeds a designated threshold amount.

15. A system comprising:
sensors configured to measure vibrations of a vehicle, the one or more sensors configured to output data indicative of the vibrations; and
one or more processors configured to receive the data from the sensors and to identify a peak vibration of the vibrations from the data, wherein the peak vibration is the vibration with the largest magnitude in the frequency domain,
wherein the

Assignees

• Gen Electric
• Ge Global Sourcing Llc

Inventors

• Worden Bret
• Zhang Jingjun
• Petersen David

Classifications

• G01M17/013 Primary

  Wheels · CPC title

• G01M15/12 Primary

  by monitoring vibrations · CPC title

• G01N29/14 Primary

  using acoustic emission techniques {(echo of particles G01N29/046; measuring mechanical vibrations or acoustic waves in solids in general G01H1/00)} · CPC title

• G01N29/46

  by spectral analysis, e.g. Fourier analysis {or wavelet analysis (spectral signal processing per se G06F17/14)} · CPC title

• G01N2291/0258

  Structural degradation, e.g. fatigue of composites, ageing of oils · CPC title