Real-time detection of wheel anomalies

• US 9,463,674 B1
• Filed: 01/15/2016
• Issued: 10/11/2016
• Est. Priority Date: 01/15/2016
• Status: Expired due to Fees

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: He, Shi Wen, Liao, Jun, Shen, Rui, Wang, Dan Dan, Yin, Wen Bao
• Primary Examiner(s): Swarthout, Brent
• Application Number:
  US14/996,311
• Time in Patent Office: 270 Days
• Field of Search: 340/442, 340/443
• US Class Current: 1/1
• CPC Class Codes: B60C 23/0486 comprising additional sensors in the wheel or tyre mounted monitoring device, e.g. movement sensors, microphones or earth magnetic field sensors
• CPC Class Codes: B60C 23/065 by monitoring vibrations in tyres or suspensions B60C23/062 takes precedence

Abstract

A computer-implemented method includes receiving, by one or more sensors, data for one or more cycles, each of the one or more cycles including one or more slots. The computer-implemented method further includes combining the one or more slots from each of the one or more cycles into a combined slot group. The computer-implemented method further includes converting the combined slot group into a converted slot group. The computer-implemented method further includes monitoring the converted slot group for an anomaly. The computer-implemented method further includes, responsive to the anomaly: Comparing the anomaly to one or more known anomalies to determine a correlation between the anomaly and the one or more known anomalies, and determining the anomaly location. The computer-implemented method further includes reporting a problem condition based on at least one of the correlation and the anomaly location. A corresponding computer system and computer program product are also disclosed.

Claims

1. A computer-implemented method comprising:

receiving, by one or more sensors, time domain signal data for one or more cycles, each of said one or more cycles comprising one or more slots;

combining said one or more slots from each said one or more cycles into a combined slot group;

converting said combined slot group into a converted slot group, wherein converting said combined slot group into said converted slot group comprises transforming said time domain signal data to frequency domain signal data to yield said converted slot group;

monitoring said converted slot group for an anomaly;

responsive to said anomaly;

comparing said anomaly to one or more known anomalies to determine a correlation between said anomaly and said one or more known anomalies;

determining a location of said anomaly; and

reporting a problem condition based on at least one of said correlation and said location of said anomaly.

2. The computer-implemented method of claim 1, wherein said one or more slots comprise time domain signal data for a predetermined fraction of any said one or more cycles.

3. The computer-implemented method of claim 1, wherein said converted slot group is associated with a threshold value.

4. The computer-implemented method of claim 3, wherein said anomaly occurs if at least one quantity associated with said converted slot group exceeds said threshold value.

5. The computer-implemented method of claim 1, wherein said one or more sensors are components of a monitoring system for monitoring a wheel.

8. The computer program product of claim 1, wherein said converted slot group is associated with a threshold value.

9. The computer program product of claim 8, wherein said anomaly occurs if at least one quantity associated with said converted slot group exceeds said threshold value.

6. A computer program product, the computer program product comprising one or more computer readable storage media and program instructions stored on said one or more computer readable storage media, said program instructions comprising instructions to:

receive, by one or more sensors, time domain signal data for one or more cycles, each of said one or more cycles comprising one or more slots;

combine said one or more slots from each said one or more cycles into a combined slot group;

convert said combined slot group into a converted slot group, wherein said instructions to convert said combined slot group into said converted slot group further comprise instructions to transform said time domain signal data to frequency domain signal data to yield said converted slot group;

monitor said converted slot group for an anomaly;

responsive to said anomaly;

compare said anomaly to one or more known anomalies to determine a correlation between said anomaly and said one or more known anomalies;

determine a location of said anomaly; and

report a problem condition based on at least one of said correlation and said location of said anomaly.

7. The computer program product of claim 6, wherein said one or more slots comprise time domain signal data for a predetermined fraction of any said one or more cycles.

10. The computer program product of claim 6, wherein said one or more sensors are components of a monitoring system for monitoring a wheel.

11. A computer system, the computer system comprising:

one or more computer processors;

one or more computer readable storage media;

computer program instructions;

said computer program instructions being stored on said one or more computer readable storage media;

said computer program instructions comprising instructions to;

receive, by one or more sensors, time domain signal data for one or more cycles, each of said one or more cycles comprising one or more slots;

combine said one or more slots from each said one or more cycles into a combined slot group;

convert said combined slot group into a converted slot group, wherein said instructions to convert said combined slot group into said converted slot group further comprise instructions to transform said time domain signal data to frequency domain signal data to yield said converted slot group;

monitor said converted slot group for an anomaly;

responsive to said anomaly;

compare said anomaly to one or more known anomalies to determine a correlation between said anomaly and said one or more known anomalies;

determine a location of said anomaly; and

report a problem condition based on at least one of said correlation and said location of said anomaly.

12. The computer system of claim 11, wherein said one or more slots comprise time domain signal data for a predetermined fraction of any said one or more cycles.

13. The computer system of claim 11, wherein said converted slot group is associated with a threshold value.

14. The computer system of claim 13, wherein said anomaly occurs if at least one quantity associated with said converted slot group exceeds said threshold value.

15. The computer system of claim 11, wherein said one or more sensors are components of a monitoring system for monitoring a wheel.