Maintenance system for aircraft fleet and method for planning maintenance

• US 9,251,502 B2
• Filed: 11/01/2012
• Issued: 02/02/2016
• Est. Priority Date: 11/01/2012
• Status: Active Grant

• Current Assignee: GE Aviation Systems LLC (GE Aerospace)
• Original Assignee: GE Aviation Systems LLC (GE Aerospace)
• Inventors: Schoonveld, Steve John
• Primary Examiner(s): Nguyen, John Q
• Assistant Examiner(s): ODEH, NADEEM N
• Application Number:
  US13/666,394
• Publication Number:
  US 20140121885A1
• Time in Patent Office: 1,188 Days
• Field of Search: 701/29.3, 701/29.4, 705/7.11, 705/7.22
• US Class Current: 1/1
• CPC Class Codes: G06Q 10/10 Office automation; Time management

Abstract

A maintenance system for a fleet of aircraft and a method of planning maintenance for a fleet of aircraft that includes identifying a maintenance schedule having at least one routine maintenance action for an aircraft to be maintained, generating a non-routine maintenance task schedule comprising non-routine maintenance tasks, and generating a combined schedule comprising a combination of the maintenance schedule and the non-routine maintenance task schedule.

Claims

1. A maintenance system for a fleet of aircraft, the system comprising:

a maintenance database comprising at least one maintenance schedule comprising a list of routine maintenance actions for the aircraft;

a non-routine maintenance database comprising at least non-routine maintenance historical data for the aircraft;

a health database comprising operation data for the aircraft; and

a planning module configured to query the maintenance database, non-routine maintenance database, and the health database, such that the planning module is configured to identify anticipated non-routine maintenance tasks having a threshold probability of occurrence based on historical data for the fleet and aircraft health data and having a correlation with at least one of the routine maintenance actions, wherein the correlation includes that the anticipated non-routine maintenance tasks and the at least one of the routine maintenance actions are located in a same area of the aircraft, and the correlation is based on the timing and duration of the routine maintenance action in relation to an amount of the threshold probability of the occurrence of the identified anticipated non-routine maintenance tasks; and

a generation module configured to generate a task schedule that is a combination of the maintenance schedule and at least one of the identified anticipated non-routine maintenance tasks having the threshold probability of occurring, wherein the generation module generates the task schedule prior to initiating a maintenance action.

2. The maintenance system of claim 1 wherein the planning module determines the correlation by determining anticipated non-routine maintenance tasks to be included during at least one of the routine maintenance actions.

3. The maintenance system of claim 2 wherein the health database further comprises prognostic aircraft health data.

4. The maintenance system of claim 3 wherein the prognostic aircraft health data is utilized in identifying anticipated non-routine maintenance tasks having the correlation with at least one of the routine maintenance actions.

5. The maintenance system of claim 3 wherein the planning module identifies all correlated anticipated non-routine maintenance tasks with highest probabilities of occurrence that can be accomplished in the duration of the routine maintenance actions.

6. The maintenance system of claim 1 wherein the maintenance database, non-routine maintenance database, and health database comprise a single database.

7. The maintenance system of claim 6 wherein the planning module is executed on a computer configured to access the single database.

8. The maintenance system of claim 1, further comprising a business rules module that identifies which of the anticipated non-routine maintenance tasks can be completed to meet operational objectives.

9. The maintenance system of claim 1 wherein the same area comprises the same panel on the aircraft.

10. The maintenance system of claim 1 wherein the planning module does not identify anticipated non-routine maintenance tasks having a threshold probability of occurrence that is below a predetermined threshold.

11. A method of planning maintenance for a fleet of aircraft, the method comprising:

identifying, by a computer, a maintenance schedule having at least one routine maintenance action for an aircraft to be maintained and including timing and duration of the routine maintenance action;

generating, by the computer, a non-routine maintenance schedule, wherein the generating includes identifying comprising anticipated non-routine maintenance having a threshold probability of anticipated occurrence based on historical data for the fleet and aircraft health data, a correlation of the anticipated non-routine maintenance located in a same area of the aircraft as the at least one routine maintenance action, and a correlation of the anticipated non-routine maintenance based on the timing and duration of the routine maintenance action in relation to an amount of the threshold probability of anticipated occurrence of the identified anticipated non-routine maintenance;

generating a task schedule comprising a combination of the maintenance schedule and the non-routine maintenance schedule and displaying the generated task schedule to a user; and

initiating maintenance according to the task schedule;

wherein the generating a non-routine maintenance schedule occurs prior to the initiating maintenance.

12. The method of claim 11 wherein the longer the duration of the routine maintenance action, the lower the threshold probability of anticipated occurrence of the anticipated non-routine maintenance to be included in the generated non-routine maintenance schedule.

13. The method of claim 12 wherein the threshold probability of anticipated occurrence of the anticipated non-routine maintenance is determined by determining a potential failure in at least one component of the aircraft.

14. The method of claim 13 wherein determining a potential failure in the at least one component comprises evaluating at least one of multiple constraints, said multiple constraints including a predicted life of the component or a failure rate of the component.

15. The method of claim 14 wherein the determining the failure rate comprises determining at least one of an actual failure rate or an artificial failure rate.

16. The method of claim 15 wherein determining the artificial failure rate, including a time to failure, further comprises determining the artificial failure rate from prognostic health data.

17. The method of claim 11, further comprising continuously determining what anticipated non-routine maintenance tasks have a correlation with at least one of the routine maintenance actions.