System and method for managing a fleet of remote assets

• US 20030055666A1
• Filed: 07/18/2002
• Published: 03/20/2003
• Est. Priority Date: 08/23/1999
• Status: Abandoned Application

• Current Assignee: David R. Gibson, Glenn Robert Shaffer, Louis Andrew Schick, Nicholas E. Roddy
• Original Assignee: David R. Gibson, Glenn Robert Shaffer, Louis Andrew Schick, Nicholas E. Roddy
• Inventors: Shaffer, Glenn Robert, Schick, Louis Andrew, Gibson, David Richard, Roddy, Nicholas E.
• Application Number:
  US10/199,717
• Publication Number:
  US 20030055666A1
• Time in Patent Office: Days
• US Class Current: 705/1
• CPC Class Codes: B61L 2205/04 Satellite based navigation systems, e.g. global positioning system [GPS]
• CPC Class Codes: B61L 27/57 for vehicles or trains, e.g. trackside supervision of train conditions
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/0637 Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
• CPC Class Codes: G06Q 10/06395 Quality analysis or management
• CPC Class Codes: G06Q 10/20 Administration of product repair or maintenance
• CPC Class Codes: G07C 5/006 Indicating maintenance
• CPC Class Codes: G07C 5/008 communicating information to a remotely located station transmission systems for measured values G08C
• CPC Class Codes: G07C 5/0841 Registering performance data recording measured values G01D; information storage G11B

Abstract

Computerized method and system for identification and evaluation of a repair likely to prevent a failure of a mobile asset is provided. The method allows collecting data indicative of an incipient malfunction in the mobile asset (e.g., 1006). The method further allows collecting usage data indicative of usage of the mobile asset (e.g., 1002). The usage data is processed relative to historical data collected from a fleet of corresponding mobile assets to generate a usage profile for that asset (e.g., 1004). The data indicative of incipient malfunctions is processed to generate a prediction of a failure in the mobile asset and at least one repair likely to prevent the failure of the mobile asset (e.g., 1010). A repair weight indicative of a probability that the repair will prevent the predicted failure is determined (e.g., 466). The repair weight is adjusted based on the usage profile of the asset (e.g., 1014), and the adjusted repair weight is used to evaluate the repair, for example, to evaluate whether or not the repair should be performed (e.g., 1016).

Claims

1. A computerized method for identification and evaluation of a repair likely to prevent a failure of a mobile asset, the method comprising:

collecting data indicative of an incipient malfunction in the mobile asset;

collecting usage data indicative of usage of the mobile asset;

processing the usage data relative to historical data collected from a fleet of corresponding mobile assets to generate a usage profile for that asset;

processing the data indicative of incipient malfunctions to generate a prediction of a failure in the mobile asset and at least one repair likely to prevent the failure of the mobile asset;

determining a repair weight indicative of a probability that said repair will prevent the predicted failure;

adjusting the repair weight based on the usage profile of the asset; and

using the adjusted repair weight to at least evaluate whether to perform the at least one repair.

2. The computerized method of claim 1 wherein the processing of the data indicative of incipient malfunctions further comprises processing the usage profile of the mobile asset to generate the failure prediction and the at least one repair likely to prevent the failure of the mobile asset.

3. The computerized method of claim 1 wherein the repair further comprises identifying a level of criticality associated with said repair.

4. The computerized method of claim 3 wherein the level of criticality associated with the repair is based on the usage profile of the asset.

5. The computerized method of claim 1 wherein the usage data of the asset is enhanced with environmental data collected during usage of the asset, the environmental data indicative of at least one parameter contributing to the level of wear of the asset.

6. The computerized method of claim 1 further comprising, as the mobile asset is in operation, monitoring at least one mobile asset parameter indicative of the level of use of the asset.

7. The computerized method of claim 6 wherein the mobile asset parameter is selected from the group consisting of cargo weight, and command settings for respective pieces of equipment on-board the asset.

8. The computer of claim 1 wherein the data indicative of incipient malfunctions is selectable from the group consisting of fault log data, and operational parameter data.

9. A computerized method for early identification and evaluation of a repair likely to prevent a predicted failure in a mobile asset, the method comprising:

collecting usage data indicative of usage of the mobile asset;

processing the usage data relative to historical usage data collected from a fleet of corresponding mobile assets to generate a usage profile for the mobile asset;

determining a repair weight indicative of a probability that the selected repair will prevent the predicted failure;

adjusting the repair weight based on the usage profile of the asset to generate an adjusted repair weight; and

using the adjusted repair weight to at least evaluate whether to perform the selected repair.

10. The computerized method of claim 9 wherein the selected repair further comprises identifying a level of criticality associated with said repair.

11. The computerized method of claim 10 wherein the level of criticality associated with the repair is based, at least in part, on the usage profile of the asset.

12. The computerized method of claim 9 wherein the usage data of the asset is enhanced with environmental data collected during usage of the asset, the environmental data indicative of at least one parameter contributing to the level of wear of the asset.

13. The computerized method of claim 9 further comprising, as the mobile asset is in operation, monitoring at least one mobile asset parameter indicative of the level of use of the asset.

14. The computerized method of claim 13 wherein the mobile asset parameter is selected from the group consisting of cargo weight, and command settings for respective pieces of equipment on-board the asset.

15. The computer of claim 9 wherein the data indicative of incipient malfunctions is selectable from the group consisting of fault log data, and operational parameter data.

16. A computerized method for determining service of a mobile asset, the method comprising:

collecting data regarding a mobile asset;

processing the data to identify a respective trend in at least one operational parameter of the asset;

collecting usage data indicative of usage of the mobile asset;

processing the usage data relative to historical data collected from a fleet of mobile assets corresponding to the asset undergoing service to generate a usage profile for that asset; and

developing a service recommendation for the asset in response to the identified trend and the usage profile of the asset.

17. A computerized method for determining service of a mobile asset, the method comprising:

collecting fault data regarding a mobile asset;

processing the fault data to identify at least one combination of distinct faults;

collecting usage data indicative of usage of the mobile asset;

processing the usage data relative to historical data collected from a fleet of mobile assets corresponding to the asset undergoing service to generate a usage profile for that asset; and

developing a service recommendation for the asset in response to the identified combination of faults and the usage profile of the asset.

18. A computerized method for determining a servicing schedule of a mobile asset, the method comprising:

providing a database configured to store a rule base for determining a servicing schedule of a fleet of mobile assets corresponding to the asset undergoing service and for storing data indicative of usage of the asset;

processing the usage data relative to historical data collected from the fleet of mobile assets to generate a usage profile for that asset;

developing a service recommendation for the asset in view of the rule base for determining the servicing schedule of the fleet of assets and further in view of the usage profile of the asset.