TELEMATICS-ENABLED AGGREGATED VEHICLE DIAGNOSIS AND PROGNOSIS

• US 20100063668A1
• Filed: 09/05/2008
• Published: 03/11/2010
• Est. Priority Date: 09/05/2008
• Status: Active Grant

• Current Assignee: GM Global Technology Operations LLC (General Motors Company)
• Original Assignee: GM Global Technology Operations Incorporated (Motors Liquidation Co. GUC Trust)
• Inventors: Gilbert, Mark E., Dost, Shirley B., Loewer, Paul W., Ampunan, Nathan D., Howell, Mark N., Inbarajan, Krishnaraj, Zhang, Yilu, Salman, Mutasim A., Zhang, Xiaodong, Correia, John J., Rychlinski, Mark J.
• Granted Patent: US 8,374,745 B2
• Time in Patent Office: Days
• US Class Current: 701/30
• CPC Class Codes: G06Q 10/04 Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" market predictions or forecasting for commercial activities G06Q30/0202
• CPC Class Codes: G07C 5/008 communicating information to a remotely located station transmission systems for measured values G08C

Abstract

A system and method for telemetrically collecting on-road vehicle diagnostic data. In one embodiment, the method includes collecting vehicle diagnostic data from service shops, on-road vehicles and warranty records, aggregating the collected data and extracting knowledge therefrom. The extracted knowledge can be used to enhance algorithms on-board vehicles or at service centers so as to better identify vehicle faults and provide enhanced diagnostics and prognostics. The enhanced algorithms can then be used to provide predictive maintenance suggestions, provide trouble shooting assistance or provide vehicle design improvements.

Claims

1. A method for collecting and analyzing vehicle data, said method comprising:

collecting data from service shops;

collecting data from on-road vehicles using wireless communications;

collecting warranty record data;

automatically aggregating the collected data and using knowledge extraction to extract information from the aggregated data;

providing on-board and off-board diagnosis and prognosis algorithm enhancement using the extracted information; and

using the enhanced algorithms to provide various vehicle services.

2. The method according to claim 1 wherein using the enhanced algorithms includes providing predictive maintenance suggestions to a vehicle owner.

3. The method according to claim 1 wherein using the enhancement algorithms includes providing trouble shooting assistance to technicians.

4. The method according to claim 1 wherein using the enhanced algorithm includes providing design improvement suggestions.

5. The method according to claim 1 wherein collecting data from the service shops includes collecting vehicle identification numbers, parametric or abstract vehicle data, root cause data, problem resolution data and maintenance data.

6. The method according to claim 1 wherein collecting data from on-road vehicles includes collecting vehicle identification numbers, parametric or abstract vehicle data and time stamp data.

7. The method according to claim 1 wherein collecting warranty data includes collecting vehicle identification numbers, parametric or abstract vehicle data, root cause data and labor codes.

8. The method according to claim 1 wherein the automatic data aggregation and knowledge extraction includes using an algorithm selected from the group consisting of association rule learning and support vector machine learning.

9. The method according to claim 1 wherein providing the algorithm enhancement includes using case based reasoning, Bayesian networks, rule data bases, or a reasoning engine.

10. The method according to claim 1 wherein collecting data from on-road vehicles includes collecting data continuously from on-road vehicles or collecting data only when a potential problem is identified on the vehicle.

11. A method for collecting and analyzing vehicle data, said method comprising:

collecting data from on-road vehicles using wireless communications;

aggregating the collected data and using knowledge extraction to extract information from the aggregated data; and

providing vehicle diagnosis and prognosis using the extracted information.

12. The method according to claim 11 wherein collecting data from on-road vehicles includes collecting vehicle identification numbers, parametric or abstract vehicle data and time stamp data.

13. The method according to claim 11 wherein the data aggregation and knowledge extraction includes using an algorithm selected from the group consisting of association rule learning and support vector machine learning.

14. The method according to claim 11 wherein collecting data from on-road vehicles includes collecting data continuously from on-road vehicles or collecting data only when a potential problem is identified on the vehicle.

15. A method for collecting and analyzing vehicle data, said method comprising:

collecting data from service shops;

collecting data from on-road vehicles using wireless communications;

collecting warranty record data;

aggregating the collected data and using knowledge extraction to extract information from the aggregated data; and

providing vehicle diagnosis and prognosis using the extracted information.

16. The method according to claim 15 further comprising using the extracted information for providing predictive maintenance suggestions to a vehicle owner.

17. The method according to claim 15 further comprising using the extracted information for providing trouble shooting assistance to technicians.

18. The method according to claim 15 further comprising using the extracted information for providing design improvement suggestions.

19. The method according to claim 15 wherein the data aggregation and knowledge extraction includes using an algorithm selected from the group consisting of association rule learning and support vector machine learning.