METHOD AND SYSTEM FOR USE IN CONDITION MONITORING

• US 20130275813A1
• Filed: 04/17/2012
• Published: 10/17/2013
• Est. Priority Date: 04/17/2012
• Status: Active Grant

• Current Assignee: GE Infrastructure Technology, LLC (GE Vernova, Inc.)
• Original Assignee: General Electric Company
• Inventors: Loganathan, Karthikeyan, Lanka, Narasimham
• Granted Patent: US 8,898,525 B2
• Time in Patent Office: Days
• US Class Current: 714/47.1
• CPC Class Codes: G05B 23/0229 knowledge based, e.g. expert systems; genetic algorithms

Abstract

A condition monitoring system including at least one computing device also includes a memory device configured to store data associated with a monitored device and at least one input channel that is configured to receive the data associated with the monitored device. The condition monitoring system further includes a processor coupled to the memory device and the at least one input channel. The processor is programmed to determine a potential fault condition by comparing at least a portion of the data associated with the monitored device with at least one scenario programmed therein. The at least one scenario is at least partially based on at least one predetermined event associated with at least one condition of the monitored device.

Claims

1. A condition monitoring system comprising at least one computing device comprising:

a memory device configured to store data associated with a monitored device;

at least one input channel, said at least one input channel configured to receive the data associated with the monitored device; and

a processor coupled to said memory device and said at least one input channel, said processor programmed to determine a potential fault condition by comparing at least a portion of the data associated with the monitored device with at least one scenario programmed therein, wherein said at least one scenario is at least partially based on at least one predetermined event associated with at least one condition of the monitored device.

2. A condition monitoring system in accordance with claim 1, wherein said processor is further programmed to determine said at least one scenario as a function of regression tests executed based on at least one of expert knowledge of the monitored device and fleet operational history of the monitored device.

3. A condition monitoring system in accordance with claim 1, wherein said processor is further programmed to determine the potential fault condition by determining an occurrence of at least one initiating event within a predetermined sequence of events.

4. A condition monitoring system in accordance with claim 3, wherein said processor is further programmed to determine expected events that are a portion of the at least one scenario that have not occurred.

5. A condition monitoring system in accordance with claim 1, wherein said processor is further programmed to determine said at least one scenario based on one of a single event and a plurality of predetermined events.

6. A condition monitoring system in accordance with claim 1, wherein said processor is further programmed to determine at least one of troubleshooting steps and recommendations based on a diagnosed fault condition.

7. A method of determining a condition of a monitored device, said method comprising:

providing a computer-based condition monitoring system;

comparing at least a portion of monitored data associated with the monitored device with at least one scenario programmed in the condition monitoring system, wherein the at least one scenario is at least partially based on at least one predetermined event associated with at least one condition of the monitored device; and

determining a potential fault condition by at least partially matching one event in the at least one scenario and at least a portion of data associated with the monitored device.

8. A method in accordance with claim 7, further comprising determining the at least one scenario comprising:

programming predetermined equipment data into the condition monitoring system, wherein the equipment data comprises at least one of expert knowledge of the monitored device and fleet operational history of the monitored device; and

determining a plurality of rules by performing regression testing using the equipment data.

9. A method in accordance with claim 8, further comprising determining at least one scenario based on one of a single event and a plurality of predetermined events based on at least a portion of the plurality of rules.

10. A method in accordance with claim 9, wherein determining at least one scenario comprises determining at least one failure scenario.

11. A method in accordance with claim 7, wherein determining a potential fault condition comprises an occurrence of at least one initiating event within a predetermined sequence of events.

12. A method in accordance with claim 7, wherein comparing at least a portion of monitored data comprises distinguishing between expected events that are a portion of the at least one scenario that have not occurred and expected events that are a portion of the at least one scenario that have occurred.

13. A method in accordance with claim 7, wherein determining a potential fault condition comprises determining at least one of troubleshooting steps and recommendations based on a diagnosed fault condition.

14. One or more non-transitory computer-readable storage media having computer-executable instructions embodied thereon, wherein when executed by at least one processor, the computer-executable instructions cause the at least one processor to:

compare at least a portion of monitored data associated with a monitored device with at least one scenario programmed in a condition monitoring system, wherein the at least one scenario is at least partially based on at least one predetermined event associated with at least one condition of the monitored device; and

determine a potential fault condition by at least partially matching one event in the at least one scenario and at least a portion of data associated with the monitored device.

15. One or more non-transitory computer-readable storage media in accordance with claim 14, wherein when executed by at least one processor, the computer-executable instructions further cause the at least one processor to determine the at least one scenario including determining a plurality of rules by performing regression testing using predetermined equipment data programmed into the at least one processor, wherein the equipment data includes at least one of expert knowledge of the monitored device and fleet operational history of the monitored device.

16. One or more non-transitory computer-readable storage media in accordance with claim 15, wherein when executed by at least one processor, the computer-executable instructions further cause the at least one processor to determine at least one scenario based on one of a single event and a plurality of predetermined events based on at least a portion of the plurality of rules.

17. One or more non-transitory computer-readable storage media in accordance with claim 16, wherein when executed by at least one processor, the computer-executable instructions further cause the at least one processor to determine at least one scenario by determining at least one failure scenario.

18. One or more non-transitory computer-readable storage media in accordance with claim 14, wherein when executed by at least one processor, the computer-executable instructions further cause the at least one processor to determine a potential fault condition based on an occurrence of at least one initiating event within a predetermined sequence of events.

19. One or more non-transitory computer-readable storage media in accordance with claim 14, wherein when executed by at least one processor, the computer-executable instructions further cause the at least one processor to distinguish between expected events that are a portion of the at least one scenario that have not occurred and expected events that are a portion of the at least one scenario that have occurred.

20. One or more non-transitory computer-readable storage media in accordance with claim 14, wherein when executed by at least one processor, the computer-executable instructions further cause the at least one processor to determine at least one of troubleshooting steps and recommendations based on a diagnosed fault condition.