Methods and systems for computation of probabilistic loss of function from failure mode

• US 8,095,337 B2
• Filed: 10/02/2008
• Issued: 01/10/2012
• Est. Priority Date: 10/02/2008
• Status: Expired due to Fees

• Current Assignee: Honeywell International Inc.
• Original Assignee: Honeywell International Inc.
• Inventors: Kolbet, David, Shao, Qingqiu Ginger, Magnuson, Randy, Barton, Bradley John, Maewal, Akhilesh
• Primary Examiner(s): Charioui, Mohamed
• Application Number:
  US12/244,637
• Publication Number:
  US 20100088538A1
• Time in Patent Office: 1,195 Days
• Field of Search: 702179-183, 702/185, 702/189, 707722-723, 707/735, 707748-752, 700 29- 35
• US Class Current: 702/182
• CPC Class Codes: G06N 7/01 Probabilistic graphical models, e.g. probabilistic networks

Abstract

A method for determining a probabilistic loss of function of a system includes the steps of determining a plurality of failure mode probabilities, ranking a plurality of functions pertaining to the failure mode probabilities, and identifying a likely function at least substantially lost by the system based at least in part on the plurality of failure mode probabilities and the ranking.

Claims

1. A method for determining a probabilistic loss of function of a system, the method comprising the steps of:

determining, using a processor, a plurality of failure mode probabilities;

ranking, using the processor, a plurality of functions pertaining to the failure mode probabilities; and

identifying, using the processor, a likely function that is most likely to be at least substantially lost by the system, based at least in part on the plurality of failure mode probabilities and the ranking.

2. The method of claim 1, further comprising the steps of:

calculating a likelihood that the likely function has been lost by the system, based at least in part on the plurality of failure mode probabilities.

3. The method of claim 2, further comprising the steps of:

identifying one or more additional likely functions at least substantially lost by the system, based at least in part on the plurality of failure mode probabilities and the ranking; and

calculating a plurality of additional likelihoods that the additional likely functions have been lost by the system, based at least in part on the plurality of failure mode probabilities.

4. The method of claim 1, wherein the step of ranking the plurality of functions pertaining to the failure mode probabilities comprises the step of ranking the plurality of functions pertaining to the failure mode probabilities using a subsystem hierarchy and a function hierarchy dependency tree related thereto.

5. The method of claim 1, wherein the step of identifying the likely function comprises the step of fusing the plurality of failure mode probabilities with the ranking.

6. The method of claim 1, wherein the likely function is determined using an aggregate probability for the likely function across multiple failure modes.

7. The method of claim 1, further comprising the step of:

obtaining operating data pertaining to the system;

wherein the step of identifying the likely function comprises the step of identifying, using the processor, the likely function based at least in part on the plurality of failure mode probabilities and the ranking without determining which failure mode is present.

8. A non-transitory computer readable medium encoded with a program product for determining a probabilistic loss of function of a system, the program product comprising:

a program configured to at least facilitate;

determining a plurality of failure mode probabilities;

ranking a plurality of functions pertaining to the failure mode probabilities; and

identifying a likely function that is most likely to be at least substantially lost by the system, based at least in part on the plurality of failure mode probabilities and the ranking; and

a non-transitory computer-readable signal bearing medium bearing the program.

9. The non-transitory computer readable medium of claim 8, wherein the program is further configured to at least facilitate:

calculating a likelihood that the likely function has been lost by the system, based at least in part on the plurality of failure mode probabilities.

10. The non-transitory computer readable medium of claim 9, wherein the program is further configured to at least facilitate:

identifying one or more additional likely functions at least substantially lost by the system, based at least in part on the plurality of failure mode probabilities and the ranking; and

calculating a plurality of additional likelihoods that the additional likely functions have been lost by the system, based at least in part on the plurality of failure mode probabilities.

11. The non-transitory computer readable medium of claim 8, wherein the program is further configured to at least facilitate ranking the plurality of functions pertaining to the failure mode probabilities using a subsystem hierarchy and a function hierarchy dependency tree related thereto.

12. The non-transitory computer readable medium of claim 8, wherein the program is further configured to at least facilitate identifying the likely function at least substantially lost by the system based at least in part on the plurality of failure mode probabilities and the ranking by fusing the plurality of failure mode probabilities with the ranking.

13. The non-transitory computer readable medium of claim 8, wherein the likely function is determined using an aggregate probability for the likely function across multiple failure modes.

14. The non-transitory computer readable medium of claim 8, wherein the program is further configured to at least facilitate:

identifying the likely function based at least in part on the plurality of failure mode probabilities and the ranking without knowing the failure mode.

15. A computer system for determining a probabilistic loss of function of a system, the computer system comprising:

an interface configured to at least facilitate obtaining operating data for the system; and

a processor coupled to the interface and configured to;

determine a plurality of failure mode probabilities based at least in part on the operating data;

rank a plurality of functions pertaining to the failure mode probabilities; and

identify a likely function that is most likely to be at least substantially lost by the system, based at least in part on the plurality of failure mode probabilities and the ranking.

16. The computer system of claim 15, wherein the processor is further configured to:

calculate a likelihood that the likely function has been lost by the system, based at least in part on the plurality of failure mode probabilities.

17. The computer system of claim 16, wherein the processor is further configured to:

identify one or more additional likely functions at least substantially lost by the system, based at least in part on the plurality of failure mode probabilities and the ranking; and

calculate a plurality of additional likelihoods that the additional likely functions have been lost by the system, based at least in part on the plurality of failure mode probabilities.

18. The computer system of claim 15, wherein the processor is further configured to identify the likely function at least substantially lost by the system based at least in part on the plurality of failure mode probabilities and the ranking by fusing the plurality of failure mode probabilities with the ranking.

19. The computer system of claim 18, wherein the processor is further configured to identify the likely function based at least in part on the plurality of failure mode probabilities and the ranking regardless of the failure mode.

20. The computer system of claim 15, wherein the processor is further configured to rank the plurality of functions pertaining to the failure mode probabilities using a subsystem hierarchy and a function hierarchy dependency tree related thereto.