Method, apparatus and computer program product for determining a future time of a component

• US 7,684,936 B2
• Filed: 05/07/2008
• Issued: 03/23/2010
• Est. Priority Date: 05/07/2008
• Status: Active Grant

• Current Assignee: Simmonds Precision Products, Inc. (Raytheon Technologies Corporation d/b/a RTX)
• Original Assignee: Simmonds Precision Products, Inc. (Raytheon Technologies Corporation d/b/a RTX)
• Inventors: Bechhoefer, Eric Robert
• Primary Examiner(s): Le; John H
• Application Number:
  US12/116,567
• Publication Number:
  US 20090281735A1
• Time in Patent Office: 685 Days
• Field of Search: 702/34, 702/108, 702/181, 702/182, 702/183, 702/185, 702/193, 702/197, 701/29, 703/7
• US Class Current: 702/34
• CPC Class Codes: G05B 23/0283 Predictive maintenance, e.g. involving the monitoring of a system and, based on the monitoring results, taking decisions on the maintenance schedule of the monitored system; Estimating remaining useful life [RUL] preventive maintenance, i.e. planning maintenance according to the available resources without monitoring the system G06Q10/06

Abstract

A method, apparatus and computer program product are provided for determining a future time associated with a component, where the future time can be indicative that some action can be taken with respect to the component. In some embodiments, the future time can be indicative of a component'"'"'s remaining useful life or time until maintenance is required. The future time can be determined as a function of a health indicator and a material constant. In some embodiments, the functional relationship between the future time, the health indicator and the material constant can be based on the functional relationship of Paris'"'"' law for fatigue crack growth.

Claims

1. A method, comprising:

determining, using at least one processor, a health indicator at a given time and a rate of change of the health indicator over a period of time for a component of a system including one or more components, the health indicator having been determined based on vibration data associated with the component; and

determining, using at least one processor, a future time for the component as a function of the health indicator and a material constant, the material constant being determinable as a function of the rate of change of the health indicator, the component being subjectable to fatigue from the given time to the future time, wherein determining the future time includes determining a number of fatigue cycles.

2. The method of claim 1, wherein determining the health indicator and the rate of change of the health indicator includes conditioning the health indicator over the period of time using a Kalman filter.

3. The method of claim 2 further comprising determining the material constant, including conditioning a plurality of estimated material constants using an extended Kalman filter.

4. The method of claim 1, wherein determining the health indicator and the rate of change of the health indicator includes conditioning the health indicator over the period of time using Markov models.

5. The method of claim 1, wherein determining the future time comprises converting the number of fatigue cycles to the future time using a conversion factor.

6. The method of claim 1 further comprising generating a notification if the future time is less than a threshold value.

7. An apparatus comprising a processor, the processor configured to:

determine a health indicator at a given time and a rate of change of the health indicator over a period of time for a component of a system including one or more components, the health indicator having been determined based on vibration data associated with the component; and

determine a future time for the component as a function of the health indicator and a material constant, the material constant being determinable as a function of the rate of change of the health indicator, wherein the processor is further configured to determine the future time including being configured to determine a number of fatigue cycles.

8. The apparatus of claim 7, wherein the processor is further configured to determine the health indicator and the rate of change of the health indicator including being configured to condition the health indicator over the period of time using a Kalman filter.

9. The apparatus of claim 7, wherein the processor is further configured to determine the health indicator and the rate of change of the health indicator including being configured to condition the health indicator over the period of time using Markov models.

10. The apparatus of claim 7, wherein the processor is further configured to determine the material constant including being configured to condition a plurality of estimated material constants using an extended Kalman filter.

11. The apparatus of claim 7, wherein the processor is further configured to determine the future time including being configured to convert the number of fatigue cycles to the future time using a conversion factor.

12. The apparatus of claim 7, wherein the processor is further configured to generate a notification if the future time is less than a threshold value.

13. A computer-readable storage medium having computer-readable program code portions stored therein, the computer-readable program code portions comprising:

a first executable portion configured to determine a health indicator at a given time and a rate of change of the health indicator over a period of time for a component of a system including one or more components, the health indicator having been determined based on vibration data associated with the component; and

a second executable portion configured to determine a future time for the component as a function of the health indicator and a material constant, the material constant being determinable as a function of the rate of change of the health indicator, the component being subjectable to fatigue from the given time to the future time, wherein the second executable portion is further configured to determine a number of fatigue cycles.

14. The computer-readable storage medium of claim 13, wherein the first executable portion is further configured to determine the health indicator and the rate of change of the health indicator including conditioning the health indicator over the period of time using a Kalman filter.

15. The computer-readable storage medium of claim 14 further comprising a third executable portion configured to determine the material constant including conditioning a plurality of estimated material constants using an extended Kalman filter.

16. The computer-readable storage medium of claim 13, wherein the first executable portion is further configured to determine the health indicator and the rate of change of the health indicator including conditioning the health indicator over the period of time using Markov models.

17. The computer-readable storage medium of claim 13, wherein the second executable portion is further configured to convert the number of fatigue cycles to the future time using a conversion factor.

18. The computer-readable storage medium of claim 17 further comprising a third executable portion configured to generate a notification if the future time is less than a threshold value.

19. A computer-readable storage medium having computer-readable program code portions stored therein, the computer-readable program code portions comprising:

a first executable portion configured to determine a health indicator at a given time and a rate of change of the health indicator over a period of time for a component of a system including one or more components, the health indicator having been determined based on vibration data acquired associated with the component; and

a second executable portion configured to determine a future time for the component as a function of the health indicator and a material constant, the material constant being determinable as a function of the rate of change of the health indicator, the component being subjectable to fatigue from the given time to the future time, wherein the second executable portion is further configured to determine a number of fatigue cycles.

20. The computer-readable storage medium of claim 19, wherein the first executable portion is further configured to determine the health indicator and the rate of change of the health indicator including conditioning the health indicator over the period of time using a Kalman filter.

21. The computer-readable storage medium of claim 20 further comprising a third executable portion configured to determine the material constant including conditioning a plurality of estimated material constants using an extended Kalman filter.