METHOD AND SYSTEM FOR MANAGING A FLEET OF REMOTE ASSETS AND/OR ASCERTAINING A REPAIR FOR AN ASSET

• US 20160078695A1
• Filed: 11/27/2015
• Published: 03/17/2016
• Est. Priority Date: 05/01/2000
• Status: Abandoned Application

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: Cuddihy, Paul Edward, McClintic, Shawn Arthur, Fera, Gregory John, Roddy, Nicholas E., Bliley, Richard Gerald, Gibson, David Richard, Meneses, Luis Ivan, Shaffer, Glenn Robert, Schlabach, James E., Schick, Louis Andrew, Pierro, Michael James, Schneider, William Roy, Mangino, Kimberley M., Hampson, Gregory James
• Application Number:
  US14/953,250
• Publication Number:
  US 20160078695A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/20 Administration of product repair or maintenance
• CPC Class Codes: G07C 5/008 communicating information to a remotely located station transmission systems for measured values G08C
• CPC Class Codes: G07C 5/0816 Indicating performance data, e.g. occurrence of a malfunction

Abstract

Systems and methods described herein relate to indicating a repair to perform on an asset based on historic data related to a repair on the asset and/or sensor data associated with the asset. An evaluate component aggregates information related an asset such as a repair performed or data from a sensor. A repair evaluation component indicates a repair to perform on the asset based on at least one of the data from the sensor or the information related to the asset. By utilizing asset-specific information and historical data, repair schedules for assets can be more accurate and thereby reducing untimely repairs.

Claims

1. A method comprising:

evaluating, with at least one component, a portion of sensor data related to an asset;

adjusting, with the at least one component, a repair indicator of a future repair of the asset based on the portion of the sensor data;

evaluating, with the at least one component, a portion of historic data associated with at least one of at least one historic repair to the asset or operation of a group of corresponding assets; and

indicating, with the at least one component, a repair to perform on the asset based on the portion of sensor data, the repair indicator that is adjusted, and the portion of historic data.

2. The method of claim 1, wherein:

evaluating the portion of sensor data comprises collecting data indicative of an incipient malfunction in the asset and processing the data indicative of incipient malfunctions to generate a prediction of a failure in the asset and at least one repair likely to prevent the failure of the asset;

the portion of historic data is associated with the operation of the group of corresponding assets, and evaluating the portion of historic data comprises processing usage data indicative of usage of the asset relative to the portion of historic data to generate a usage profile for the asset; and

adjusting the repair indicator comprises determining a repair weight indicative of a probability that the at least one repair will prevent the predicted failure and adjusting the repair weight based on the usage profile of the asset.

3. The method of claim 1, wherein:

adjusting the repair indicator comprises adjusting a manufacturer suggested indicator to perform the future repair of the asset based on the portion of the sensor data;

the portion of historic data is associated with the at least one historic repair to the asset; and

the repair to perform on the asset is indicated based on the portion of sensor data, the adjusted manufacturer suggested indicator, and the portion of historic data.

4. The method of claim 1, further comprising generating an estimated cost for the future repair based on at least one of the portion of sensor data or the portion of historic data.

5. The method of claim 1, further comprising collecting conditions of use data related to the asset, wherein the conditions of use data is associated with at least one of a location of the asset, a weather condition for a location of the asset, a cargo load related to the asset, or a duration of time the asset is used;

wherein the future repair is indicated based on the portion of sensor data, the portion of historic data, and the conditions of use data; and

wherein the portion of sensor data is from at least one of a wheel input, a load detector, a hot bearing detector, a dragging equipment, a real time sensor, a wheel degrade sensor, a flat spot detector, or an equipment health data sensor associated with the asset.

6. The method of claim 1, further comprising receiving the portion of sensor data for the asset from at least one of a wheel input, a load detector, a hot bearing detector, a dragging equipment, a real time sensor, a wheel degrade sensor, a flat spot detector, or an equipment health data sensor.

7. The method of claim 1, further comprising collecting first conditions of use data related to the asset, wherein first conditions of use data is utilized to facilitate indicating the future repair.

8. The method of claim 7, wherein the first conditions of use data is associated with at least one of a location of the asset, a weather condition for a location of the asset, a cargo load related to the asset, or a duration of time the asset is used.

9. The method of claim 8, further comprising:

scheduling an additional repair for an additional asset based on at least one of the portion of sensor data or the portion of historic data; and

scheduling the additional repair a second conditions of use data.

10. The method of claim 9, wherein second conditions of use data related to the additional asset is substantially similar to the first conditions of use data of the asset.

11. The method of claim 1, further comprising communicating information including at least one of an asset identification, the future repair, an estimated time of the future repair, a part associated with the future repair, or a cost of the future repair.

12. The method of claim 1, further comprising further adjusting the manufacturer suggested indicator to perform the future repair based on the portion of historic data.

13. The method of claim 1, further comprising generating an indicator to perform the future repair on the asset, wherein the indicator relates to at least one of the asset or a part associated with the future repair.

14. The method of claim 13, wherein the indicator is at least one of a duration of use, a duration of time, a measurement of distance traveled for the asset, or a failure rate.

15. The method of claim 14, further comprising utilizing the indicator to perform the future repair on two or more assets.

16. A system comprising:

a first component configured to collect a portion of sensor data related to an asset and a portion of historic data related to a historic repair performed on the asset; and

a second component configured to identify an indicator to perform a future repair on two or more assets based on the portion of sensor data collected by the first component and the portion of historic data collected by the first component,

wherein the second component is configured to dynamically adjust a manufacturer suggested indicator to perform the future repair based on the portion of sensor data, wherein the manufacturer suggested indicator is defined by a manufacturer of one of the two or more assets.

17. The system of claim 16, further comprising a third component configured to schedule the future repair for one of the two or more assets.

18. The system of claim 16, wherein the indicator relates to the one of the two or more assets or a part used for the future repair and the indicator is at least one of a duration of use, a duration of time, a measurement of distance traveled for one of the two or more assets, or a failure rate.

19. The system of claim 16, wherein the second component is configured to further dynamically adjust the manufacturer suggested indicator to perform the future repair based on the portion of the historic data.

20. A system comprising:

one or more processors configured to evaluate a portion of sensor data related to an asset, adjust a manufacturer suggested indicator to perform a future repair of the asset based on the portion of sensor data, evaluate a portion of historic data associated with a repair to the asset, and determine a repair to perform on the asset based on the portion of sensor data, the manufacturer suggested indicator, and the portion of historic data.