RISK MANAGEMENT SYSTEM FOR USE WITH SERVICE AGREEMENTS

• US 20120053984A1
• Filed: 08/03/2011
• Published: 03/01/2012
• Est. Priority Date: 08/03/2011
• Status: Abandoned Application

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: Mannar, Kamal, Vittal, Sameer
• Application Number:
  US13/197,008
• Publication Number:
  US 20120053984A1
• Time in Patent Office: Days
• US Class Current: 705/7.28
• CPC Class Codes: G06Q 10/0635 Risk analysis of enterprise or organisation activities
• CPC Class Codes: G06Q 50/06 Energy or water supply

Abstract

A system for use with a risk management system is provided. The system includes a memory device configured to store data including at least historical service records of at least one wind turbine and new service records of the at least one wind turbine and a processor unit coupled to the memory device. The processor unit includes a programmable hardware component that is programmed. The processor unit is configured to analyze, by a processing system, text of the historical service records to generate a prediction model including a plurality of failure categories; and analyze, by a monitoring system, text of the new service records to classify each new service record based on the prediction model.

Claims

1. A system for use with a risk management system, said system comprising:

a memory device configured to store data including at least historical service records of at least one wind turbine and new service records of the at least one wind turbine; and

a processor unit coupled to said memory device, wherein said processor unit comprises a programmable hardware component that is programmed, said processor unit configured to;

analyze, by a processing system, text of the historical service records to generate a prediction model including a plurality of failure categories; and

analyze, by a monitoring system, text of the new service records to classify each new service record based on the prediction model.

2. A system in accordance with claim 1, wherein said processor unit is further configured to generate, by the processing system, clusters from the historical service records based on the text analysis.

3. A system in accordance with claim 2, wherein said processor unit is further configured to determine, by the processing system, failure rates and the plurality of failure categories based on the clusters.

4. A system in accordance with claim 3, wherein said processor unit is further configured to generate, by the processing system, a baseline failure model having the plurality of failure categories and the failure rates.

5. A system in accordance with claim 1, wherein said processor unit is further configured to compare, by the monitoring system, each new service record with the prediction model to classify each new service record into at least one failure category of the plurality of failure categories.

6. A system in accordance with claim 5, wherein said processor unit is further configured to assign, by the monitoring system, a new service record to a particular failure category of the plurality of failure categories when a probability of the new service record belonging to the particular failure category is above a probability threshold.

7. A system in accordance with claim 5, wherein said processor unit is further configured to determine, by the monitoring system, that a new service record is unclassified when a probability of the new service record belonging to any of the plurality of failure categories is below a probability threshold.

8. A system in accordance with claim 1, wherein said processor unit is further configured to accumulate, by the monitoring system, unclassified new service records and create a new failure mode based on the unclassified new service records.

9. A system in accordance with claim 8, wherein said processor unit is further configured to update, by the monitoring system, a baseline failure model of the processing system with the new failure mode.

10. A system in accordance with claim 1, wherein said processor unit is further configured to:

determine, by the monitoring system, a change in failure rate for at least one failure category of the plurality of failure categories; and

update, by the monitoring system, a baseline failure model of the processing system to include the changed failure rate.

11. A method for use with a risk management system, said method comprising:

analyzing, by a processing system, text of historical service records of at least one wind turbine;

generating, by the processing system, a prediction model of the system based on the analysis of the text, the prediction model including a plurality of failure categories;

analyzing, by a monitoring system, text of new service records of the at least one wind turbine; and

classifying, by the monitoring system, each new service record based on the text analysis of the new service records and the prediction model.

12. A method in accordance with claim 11, wherein generating a prediction model further comprises generating clusters from the historical service records based on the text analysis.

13. A method in accordance with claim 12, wherein generating a prediction model further comprises determining failure rates and the plurality of failure categories based on the clusters.

14. A method in accordance with claim 13, wherein generating a prediction model further comprises generating a baseline failure model having the plurality of failure categories and the failure rates.

15. A method in accordance with claim 11, wherein classifying each new service record further comprises comparing each new service record with the prediction model to classify each new service record into at least one failure category of the plurality of failure categories.

16. A method in accordance with claim 15, wherein classifying each new service record further comprises assigning a new service record to a particular failure category of the plurality of failure categories when a probability of the new service record belonging to the particular failure category is above a probability threshold.

17. A method in accordance with claim 15, wherein classifying each new service record further comprises determining that a new service record is unclassified when a probability of the new service record belonging to any of the plurality of failure categories is below a probability threshold.

18. A method in accordance with claim 11, wherein classifying each new service record further comprises accumulating unclassified new service records and create a new failure mode based on the unclassified new service records.

19. A method in accordance with claim 18, further comprising updating, by the monitoring system, a baseline failure model of the text-mining system with the new failure mode.

20. A method in accordance with claim 11, further comprising:

determining, by the monitoring system a change in failure rate for at least one failure category of the plurality of failure categories; and

updating, by the monitoring system, a baseline failure model of the text-mining system to include the changed failure rate.