Aircraft maintenance analysis tool

• US 8,019,504 B2
• Filed: 06/12/2008
• Issued: 09/13/2011
• Est. Priority Date: 06/12/2008
• Status: Active Grant

• Current Assignee: The Boeing Co.
• Original Assignee: The Boeing Co.
• Inventors: Eslinger, Steven Wayne, Jamrosz, Bryan Scott
• Primary Examiner(s): Zanelli; Michael J.
• Application Number:
  US12/138,033
• Publication Number:
  US 20090312897A1
• Time in Patent Office: 1,188 Days
• Field of Search: None
• US Class Current: 701/33
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 50/40 Business processes related to the transportation industry shipping G06Q10/083

Abstract

A method is provided for identifying events that impact aircraft availability. Operational data, maintenance data, supply data, and provisioning data are collected for a plurality of aircraft from a plurality of sources to form collected data. The collected data is processed to form processed data containing a plurality of events, wherein the processed data is in a form needed to perform an analysis on the aircraft availability for the plurality of aircraft. A set of metrics relating to the aircraft availability for the plurality of aircraft is calculated from the processed data to form a set of calculated metrics. A set of trends relating to the set of calculated metrics affecting availability of the plurality of aircraft is identified.

Claims

1. A method for identifying events that impact aircraft availability, the method comprising:

collecting operational data, maintenance data, supply data, and provisioning data for a plurality of aircraft from a plurality of sources to form collected data;

processing the collected data to form processed data containing a plurality of events, wherein the processed data is in a form needed to perform an analysis on the aircraft availability for the plurality of aircraft;

calculating a set of metrics relating to the aircraft availability for the plurality of aircraft from the processed data to form a set of calculated metrics; and

identifying a set of trends relating to the set of calculated metrics affecting availability of the plurality of aircraft.

2. The method of claim 1 further comprising:

generating a prediction of future aircraft availability for the plurality of aircraft from the set of trends.

3. The method of claim 1, wherein the collected data is for a set of parts for the plurality of aircraft.

4. The method of claim 3, wherein the set of parts is selected from at least one of a component, a subsystem, a system, and an aircraft in the plurality of aircraft.

5. The method of claim 1, wherein the processing step comprises:

preprocessing the collected data for a plurality of parts; and

sequencing a plurality of maintenance events for the plurality of parts for the plurality of aircraft.

6. The method of claim 1 further comprising:

generating a driver list for a part.

7. The method of claim 6, wherein the generating step comprises:

identifying a trigger method;

identifying a metric for the trigger method;

identifying a set of field data parameters for the trigger method;

creating a data set from the collected data for the metric and the part; and

performing a statistical operation using the trigger method, the metric, the set of field data parameters, and the data set to generate a result about the part.

8. The method of claim 7, wherein the result identifies the part as one of stable, improving, and degrading.

9. The method of claim 8 further comprising:

generating an opportunity index identifying an amount of degradation that the part contributes to performance of the plurality of aircraft.

10. The method of claim 9, wherein the performance of the plurality of aircraft is for the plurality of aircraft, a portion of the plurality of aircraft, a single aircraft, a system in the aircraft, or a subsystem in the aircraft.

11. The method of clam 7, wherein the trigger method is a statistical method selected from one of data averaging, weighted averaging, linear regression, normalized linear regression, modified T-test, and curve fitting.

12. An apparatus comprising:

a data collection unit that collects operational data, maintenance data, supply data, and provisioning data for a plurality of aircraft from a plurality of sources to form collected data;

a data processing unit that processes the collected data to form processed data containing a plurality of events, wherein the processed data is in a form needed to perform an analysis on aircraft availability for the plurality of aircraft;

a metric calculation unit that calculates a set of metrics relating to the aircraft availability for the plurality of aircraft from the processed data to form a set of calculated metrics;

a data analysis unit that identifies a set of trends using the set of calculated metrics affecting availability of the plurality of aircraft; and

a set of data processing systems, wherein the data collection unit, the data processing unit, the metric calculation unit, and the data analysis unit execute on the set of data processing systems.

13. The apparatus of claim 12, wherein the data analysis unit generates a prediction of future aircraft availability for the plurality of aircraft from the set of trends.

14. The apparatus of claim 12, wherein the data analysis unit generates a driver list for a part.

15. The apparatus of claim 14 wherein the data analysis unit identifies a trigger method;

identifies a metric for the trigger method, identifies a set of field data parameters for the trigger method;

creates a data set from the collected data for the metric and the part; and

performs a statistical operation using the trigger method, the metric, the set of field data parameters, and the data set to generate a result about the part.

16. A computer program product for identifying reliability events that impact aircraft availability, the computer program product comprising:

a computer recordable storage medium;

program code, stored on the computer recordable storage medium, for collecting operational data, maintenance data, supply data, and provisioning data for a plurality of aircraft from a plurality of sources to form collected data;

program code, stored on the computer recordable storage medium, for processing the collected data to form processed data containing a plurality of events, wherein the processed data is in a form needed to perform an analysis on the aircraft availability for the plurality of aircraft;

program code, stored on the computer recordable storage medium, for calculating a set of metrics relating to the aircraft availability for the plurality of aircraft from the processed data to form a set of calculated metrics; and

program code, stored on the computer recordable storage medium, for identifying a set of trends relating to the set of calculated metrics affecting availability of the plurality of aircraft.

17. The computer program product of claim 16 further comprising:

program code, stored on the computer recordable storage medium, for generating a prediction of future aircraft availability for the plurality of aircraft from the set of trends.

18. The computer program product of claim 16, wherein the collected data is for a set of parts for the plurality of aircraft.

19. The computer program product of claim 18, wherein the set of parts is selected from at least one of a component, a subsystem, a system, and an aircraft in the plurality of aircraft.

20. The computer program product of claim 16, wherein the program code, stored on the computer recordable storage medium, for processing the collected data to form the processed data containing the plurality of events comprises:

program code, stored on the computer recordable storage medium, for preprocessing the collected data for a plurality of parts; and

program code, stored on the computer recordable storage medium, for sequencing a plurality of maintenance events for the plurality of parts for the plurality of aircraft.