System and method of troubleshooting aircraft system failures

• US 7,702,436 B2
• Filed: 09/29/2006
• Issued: 04/20/2010
• Est. Priority Date: 09/29/2006
• Status: Expired due to Fees

• Current Assignee: Standard Aero Limited (StandardAero Business Aviation Services LLC)
• Original Assignee: Standard Aero Limited (StandardAero Business Aviation Services LLC)
• Inventors: Wingenter, Ronald
• Primary Examiner(s): Beaulieu; Yonel
• Application Number:
  US11/541,241
• Publication Number:
  US 20080082229A1
• Time in Patent Office: 1,299 Days
• Field of Search: 701/29, 701/36, 702182-183, 700174-175
• US Class Current: 701/29
• CPC Class Codes: G01M 17/00 Testing of vehicles testing fluid tightness G01M3/00; testing elastic properties of bodies or chassis, e.g. torsion-testing, G01M5/00; testing alignment of vehicle headlight devices G01M11/06; testing of engines G01M15/00
• CPC Class Codes: G06Q 10/10 Office automation; Time management

Abstract

A method of determining a preferred order of implementing maintenance tasks and determining a plurality of maintenance tasks related to a received maintenance request is disclosed. A first expected cost of implementing the plurality of maintenance tasks in a first order and a second expected cost of implementing the plurality of maintenance tasks in a second order are determined. An implementation order for the plurality of maintenance tasks is selected based at least in part on the first and second expected costs. Expected costs may be determined based at least in part on the cost of implementing each maintenance task and based on the probability that the problem has not yet been addressed by preceding tasks.

Claims

1. A method comprising:

receiving a maintenance request associated with a mechanical system;

determining a plurality of maintenance tasks related to the maintenance request;

determining a first expected cost of implementing the plurality of maintenance tasks in a first order;

determining a second expected cost of implementing the plurality of maintenance tasks in a second order, wherein the second order is different from the first order; and

automatically selecting an implementation order from the first order and the second order based at least in part on a comparison of the first expected cost and the second expected cost.

2. The method of claim 1, wherein the mechanical system includes an aircraft engine.

3. The method of claim 1, wherein at least one of the first expected cost and the second expected cost is determined based at least in part on historical data.

4. The method of claim 1, wherein the implementation order with a lower expected cost is automatically selected.

14. The method of claim 1, further comprising:

determining a first expected time to implement the plurality of maintenance tasks in the first order; and

determining a second expected time to implement the plurality of maintenance tasks in the second order,

wherein the implementation order is automatically selected based on the comparison of the first expected cost and the second expected cost and based on a comparison of the first expected time to implement the plurality of maintenance tasks in the first order and the second expected time to implement the plurality of maintenance tasks in the second order.

15. The method of claim 14, wherein the implementation order with the lowest expected cost under a threshold time to implement the plurality of maintenance tasks is automatically selected.

16. The method of claim 14, wherein the implementation order with the shortest implementation time below a threshold cost is automatically selected.

17. The method of claim 1, wherein the first expected cost and the second expected cost include at least one of costs associated with the plurality of maintenance tasks, costs associated with one or more replacement parts, and costs associated with the mechanical system being out of service.

18. The method of claim 1, further comprising:

determining a probability that each maintenance task of the plurality of maintenance tasks will repair the mechanical system;

determining a cost of implementing each maintenance task of the plurality of maintenance tasks; and

for each maintenance task in the first order,

determining an overall probability that one or more maintenance tasks that precede a particular maintenance task in the first order have repaired the mechanical system based on the probability associated with each of the one or more maintenance tasks that precede the particular maintenance task in the first order; and

determining an expected cost of implementing the particular maintenance task in the first order based on the overall probability and based on the cost of implementing the particular maintenance task,

wherein the first expected cost of implementing the plurality of maintenance tasks in the first order is determined based on the expected cost of implementing each maintenance task in the first order.

19. The method of claim 18, further comprising:

for each maintenance task in the second order,

determining an overall probability that one or more maintenance tasks that precede a particular maintenance task in the second order have repaired the mechanical system based on the probability associated with each of the one or more maintenance tasks that precede the particular maintenance task in the second order; and

determining an expected cost of implementing the particular maintenance task in the second order based on the overall probability and based on the cost of implementing the particular maintenance task,

wherein the second expected cost of implementing the plurality of maintenance tasks in the second order is determined based on the expected cost of implementing each maintenance task in the second order.

5. A method comprising:

identifying a plurality of tasks to repair a mechanical system;

determining a cost of implementing each task of the plurality of tasks;

determining a probability that each task of the plurality of tasks will repair the mechanical system;

determining a proposed order of implementing the plurality of tasks; and

determining an expected cost of repairing the mechanical system based on the cost of implementing each task and a probability that the mechanical system has not been repaired by preceding tasks in the proposed order, wherein the probability that the mechanical system has not been repaired by preceding tasks is based on the probability that each task of the plurality of tasks will repair the mechanical system.

6. A maintenance system comprising:

a work scope generator to determine a plurality of maintenance tasks based at least in part on symptoms of a mechanical system and to determine an implementation order of the plurality of maintenance tasks based on an expected cost of troubleshooting the mechanical system,

wherein the implementation order is determined by the work scope generator based at least in part on a probability that each maintenance task of the plurality of maintenance tasks will correct the symptoms of the mechanical system and based at least in part on a cost of implementing each maintenance task of the plurality of maintenance tasks.

7. The maintenance system of claim 6, further comprising a database of maintenance tasks associated with symptoms of the mechanical system.

8. The maintenance system of claim 6, further comprising historical maintenance data accessible to the work scope generator, wherein the probability of each maintenance task resolving the symptoms of the mechanical system is determined at least partially based on the historical maintenance data.

9. The maintenance system of claim 6, further comprising historical maintenance data accessible to the work scope generator, wherein the cost of implementing each task is determined at least partially based on the historical maintenance data.

10. A computer readable medium tangibly embodying a program of instructions to manipulate a computing system to:

receive a maintenance request associated with a mechanical system;

determine a plurality of maintenance tasks related to the maintenance request;

determine a first expected cost of implementing the plurality of maintenance tasks in a first order;

determine a second expected cost of implementing the plurality of maintenance tasks in a second order, wherein the second order is different from the first order; and

automatically select an implementation order from the first order and the second order based at least in part on a comparison of the first expected cost and the second expected cost.

11. A computer readable medium tangibly embodying a program of instructions to manipulate a computing system to:

determine a cost of implementing each task of a plurality of tasks to repair a mechanical system;

determine a probability that each task of the plurality of tasks will repair the mechanical system;

determine a proposed order of implementing the plurality of tasks; and

determine an expected cost to repair the mechanical system based on the cost of implementing each task and a probability that the mechanical system has not been repaired by preceding tasks in the proposed order, wherein the probability that the mechanical system has not been repaired by the preceding tasks is based on the probability that each task of the plurality of tasks will repair the mechanical system.

12. The computer readable medium of claim 11, wherein the program of instructions further manipulates the computing system to determine a plurality of proposed orders of implementing the plurality of tasks and to determine the expected cost to repair the mechanical system based on each of the plurality of proposed orders.

13. The computer readable medium of claim 12, wherein the program of instructions further manipulates the computing system to identify one of the plurality of proposed orders with the lowest expected cost to repair the mechanical system.