Method and device for monitoring bogies of multi-axle vehicles

• US 20020056398A1
• Filed: 10/01/2001
• Published: 05/16/2002
• Est. Priority Date: 04/01/1999
• Status: Active Grant

• Current Assignee: Siemens Schweiz AG (Siemens AG)
• Original Assignee: Siemens Schweiz AG (Siemens AG)
• Inventors: Schreppers, Reto, Bachtiger, Rolf, Loder, Max
• Granted Patent: US 6,539,293 B2
• Time in Patent Office: Days
• US Class Current: 105/157.1
• CPC Class Codes: B61K 9/08 Measuring installations for surveying permanent way applications of measuring apparatus or devices for track building purposes E01B35/00; measuring techniques G01
• CPC Class Codes: B61L 2205/04 Satellite based navigation systems, e.g. global positioning system [GPS]
• CPC Class Codes: B61L 23/042 Track changes detection

Abstract

The behavior of the bogie of a muliple-axle vehicle is monitored. Accelerations of at least two axles of the bogie are measured with acceleration sensors allocated to the axles. The sensor signals are subjected to a Fourier transformation in FFT units. The frequency profiles resulting from the Fourier transform are compared with profiles that are stored in memory. Differences that are detected are compared with threshold values and messages are correspondingly sent to the system that controls the vehicle. The monitoring system allows mechanical operating errors of the bogie to be detected independently of effects caused by the running surface upon which the vehicle travels.

Claims

1. A method of monitoring a bogie of a multi-axle vehicle guided on a running surface, the method which comprises:

detecting respective accelerations of at least two axles of the bogie with acceleration sensors;

subjecting sensor signals received from the acceleration sensors to a Fourier transformation in FFT modules provided in an adaptation stage and generating frequency profiles with the FFT modules;

selecting one or more comparison operations from the following group;

comparing the frequency profiles, in a first check module, to one another, to originally measured frequency profiles, and/or to a correspondingly selected standard profile;

comparing the frequency profiles, in a second check module, to respective average value profiles formed in storage stages; and

comparing the average value profiles formed in storage stages directly to each other, to originally measured

frequency profiles, and/or to a correspondingly selected standard profile; and

comparing determined deviations to threshold values, and accordingly delivering message signals to systems serving to control the vehicle.

2. The method according to claim 1, which comprises registering the deviations determined in at least one of the first check module and the second check modules as defects of the bogie or the running surface in dependence on a result of an evaluation of the signal curve s_res=s_11a−

*s_11b, where s_11a is a sensor signal and *s_11b is the delayed sensor signal.

3. The method according to claim 1, which comprises modifying one of the threshold values and the threshold value profiles, selected as a function of frequency, in dependence on one of a velocity and an acceleration of the vehicle.

4. The method according to claim 1, which comprises linking the disturbances detected in dependence on the deviations to information selected from the group consisting of time and location information.

5. The method according to claim 1, which comprises determining, in the signal processing unit, a period duration of periodically occurring disturbances, and calculating a velocity of the vehicle as a function of a diameter of the wheels.

6. A method of monitoring a bogie of a multi-axle vehicle guided on a running surface, the method which comprises:

detecting respective accelerations of at least two axles of the bogie with acceleration sensors;

shifting sensor signals received from the acceleration sensors relative to one another with a controllable timing element, to compensate for a time difference between instants at which the wheels of the bogie respectively pass a given point on the running surface;

subtracting the shifted signal curves from one another in a difference stage to form a resulting signal curve s_res=s_11a−

*s_11b representing a condition of the bogie; and

comparing the resulting signal curve to at least one threshold value or threshold value profile in a signal processing unit.

7. The method according to claim 6, which comprises calculating the time difference between the instants by correlating the sensor signals.

8. The method according to claim 6, which comprises calculating the time difference between the instants from a velocity of the vehicle and a spacing between the axles carrying the respective wheels.

9. The method according to claim 6, which comprises providing a first threshold value or threshold value profile, and determining therewith, by comparison with the signal curve, whether vibrations are being caused by the running surface or by an anomaly of the bogie;

and providing a second threshold value or threshold value profile, and determining therewith whether the bogie contains a defect that should be signaled.

10. The method according to claim 6, which comprises providing a threshold value or threshold value profile, and determining therewith, by comparison with the signal curve, whether vibrations are being caused by the running surface or by an anomaly of the bogie.

11. The method according to claim 6, which comprises providing a threshold value or threshold value profile, and determining therewith whether the bogie contains a defect that should be signaled.

12. The method according to claim 6, which comprises registering the deviations determined in at least one of the first check module and the second check module as defects of the bogie or the running surface in dependence on a result of an evaluation of the signal curve s_res=s_11a−

*s_11b, where s_11a is a sensor signal and *s_11b is the delayed sensor signal.

13. The method according to claim 6, which comprises modifying one of the threshold values and the threshold value profiles, selected as a function of frequency, in dependence on one of a velocity and an acceleration of the vehicle.

14. The method according to claim 6, which comprises linking the disturbances detected in dependence on the deviations to information selected from the group consisting of time and location information.

15. The method according to claim 6, which comprises determining, in the signal processing unit, a period duration of periodically occurring disturbances, and calculating a velocity of the vehicle as a function of a diameter of the wheels.

18. The device according to claim 17, which comprises a correlation stage configured to calculate the time difference between the instants by correlating the sensor signals.

19. The device according to claim 17, wherein said signal processing unit is configured to calculate the time difference between the instants from a velocity of the vehicle and a spacing between the axles carrying the respective wheels.

20. The device according to claim 17, wherein said signal processing unit is configured to classify the deviations determined in one of said first check module and said second check modules as defects of the bogie or the running surface in dependence on the results of the evaluation of the signal curve s_res=s_11a−

*s_11b.

16. A device for monitoring a bogie of a multi-axle vehicle guided on a running surface, comprising:

a plurality of acceleration sensors respectively disposed for sensing vibrations of at least two axles of the bogie and configured to convert vibrations of the axles into sensor signals;

a signal processing unit connected to said sensors for receiving the sensor signals for further evaluation;

an adaptation stage having at least one FFT module connected to receive the sensor signals from said acceleration sensors and for outputting frequency profiles;

at least one comparison unit selected from the group of units consisting of;

a first check module configured for one of comparing the frequency profiles to one another, comparing the frequency profiles to originally measured frequency profiles, and comparing the frequency profiles to a correspondingly selected standard profile;

storage stages, and a second check module configured to compare the frequency profiles to respective average value profiles formed in said storage stages; and

a comparator for comparing the average value profiles formed in the storage stages directly to each other, to originally measured frequency profiles, or to a correspondingly selected standard profile; and

a device for comparing the determined deviations with threshold values, and for delivering messages accordingly to systems serving to control the vehicle.

17. A device for monitoring a bogie of a multi-axle vehicle guided on a running surface, comprising:

a plurality of acceleration sensors respectively disposed for sensing vibrations of at least two axles of the bogie and configured to convert vibrations of the axles into sensor signals;

a controllable timing element connected to receive the sensor signals for shifting the sensor signals relative to one another to compensate for a time difference between instants at which the wheels of the bogie respectively pass a given point on the running surface;

a difference stage for subtracting the shifted signal curves from one another to form a resulting signal curve s_res=s_11a−

*s_11b representing a condition of the bogie; and

a signal processing unit for comparing the resulting signal curve s_res=s_11a−

*s_11b to at least one threshold value or threshold value profile.