CYCLE DECOMPOSITION ANALYSIS FOR REMOTE MACHINE MONITORING

• US 20110282626A1
• Filed: 05/12/2011
• Published: 11/17/2011
• Est. Priority Date: 05/14/2010
• Status: Active Grant

• Current Assignee: Joy Global Surface Mining Inc. (Komatsu Ltd.)
• Original Assignee: Harnischfeger Technologies Inc. (Komatsu Ltd.)
• Inventors: Daniel, Donald, Rikkola, Michael, Daniel, Kenneth
• Granted Patent: US 8,838,417 B2
• Time in Patent Office: Days
• US Class Current: 702/179
• CPC Class Codes: G05B 23/02 Electric testing or monitoring
• CPC Class Codes: G05B 23/0232 based on qualitative trend analysis, e.g. system evolution
• CPC Class Codes: G06F 21/554 involving event detection and direct action
• CPC Class Codes: G06V 20/695 Preprocessing, e.g. image segmentation

Abstract

Methods for decomposing event information for a machine are described. In one aspect, a method includes receiving event data identifying events associated with a machine on a first communications channel, and receiving trend data for the machine associated with the identified events on a second communications channel separate from the first communications channel. Systems and machine-readable media are also described.

Claims

1. A method for decomposing event information for a machine comprising:

receiving event data identifying events associated with a machine on a first communications channel; and

receiving trend data for the machine, the trend data being associated with the identified events, on a second communications channel separate from the first communications channel.

2. The method of claim 1, wherein the trend data comprises time series data.

3. The method of claim 2, wherein the measurement information comprises at least one of temperature information or voltage information.

4. The method of claim 1, wherein the event data comprises one of a warning, fault, and state message generated on the machine as trend data is analyzed on the machine.

5. The method of claim 1, further comprising the step of identifying the events by a state machine executed on board the machine.

6. The method of claim 5, wherein identifying the events is executed in real time on the machine.

7. The method of claim 1, wherein the trend date is transmitted separately from the event data.

8. The method of claim 1, wherein the events identified in the event data can be matched with associated trend data.

9. The method of claim 1, wherein the trend data is transmitted synchronously with the event data.

10. The method of claim 9, wherein transmitting the trend data synchronously with the event data comprises transmitting data for an event identified in the event data at about the same time as trend data for the event.

11. The method of claim 1, wherein the machine is at least one of a drill, conveyor, dragline, shovel, surface or underground mining machine, haulage vehicle or mining crusher.

12. A system for predicting a machine event comprising:

a memory comprising instructions; and

a processor configured to execute the instructions to;

receive event data identifying events associated with a machine on a first communications channel; and

receive trend data for the machine associated with the identified events on a second communications channel separate from the first communications channel.

13. The system of claim 12, wherein the trend data comprises time series data for measurement information.

14. The method of claim 13, wherein the measurement information comprises at least one of temperature information or voltage information.

15. The method of claim 12, wherein the event data comprises one of a warning, fault, and state message generated on the machine as trend data is analyzed on the machine.

16. The method of claim 12, further comprising the step of identifying the events by a state machine executed on board the machine.

17. The method of claim 16, wherein identifying the events is executed in real time on the machine.

18. The method of claim 12, wherein the trend date is transmitted separately from the event data.

19. The method of claim 12, wherein the events identified in the event data can be matched with associated trend data.

20. The system of claim 12, wherein the trend data is transmitted synchronously with the event data.

21. The method of claim 20, wherein transmitting the trend data synchronously with the event data comprises transmitting data for an event identified in the event data at about the same time as trend data for the event.

22. The method of claim 12, wherein the machine is at least one of a drill, conveyor, dragline, shovel, surface or underground mining machine, haulage vehicle or mining crusher.

23. A machine-readable storage medium comprising machine-readable instructions for causing a processor to execute a method for decomposing event information for a machine, comprising:

receiving event data identifying events associated with a machine on a first communications channel; and

receiving trend data for the machine associated with the identified events on a second communications channel separate from the first communications channel.