Autonomous remaining useful life estimation

• US 8,050,874 B2
• Filed: 07/02/2007
• Issued: 11/01/2011
• Est. Priority Date: 06/14/2004
• Status: Active Grant

• Current Assignee: Stylwan IP Holding LLC
• Original Assignee: Stylianos Papadimitriou, Wanda G. Papadimitriou
• Inventors: Papadimitriou, Stylianos, Papadimitriou, Wanda G.
• Primary Examiner(s): BHAT, ADITYA S
• Application Number:
  US11/772,357
• Publication Number:
  US 20080004839A1
• Time in Patent Office: 1,583 Days
• Field of Search: 702/34
• US Class Current: 702/34
• CPC Class Codes: G01N 27/9046 by analysing electrical signals

Abstract

Autonomous remaining useful life estimation equipment interacts with the operator through natural speech, voice and sound and provides active failure prevention through automatic and/or continuous remaining useful life estimation of a material under evaluation. The equipment comprises at least one computer and a material features acquisition system operable to detect a plurality of material features. The features are then evaluated according to rules that capture the multidiscipline knowledge of experts and are already inputted into the computer. The computer iterations are processed until an acceptable conclusion is made regarding the condition of the material under evaluation, thus alleviating the need for multidiscipline experts to examine and analyze all the material data manually, a very slow and expensive process. Further, the natural speech and voice interaction preferably allows the operator to operate the equipment while wearing gloves or with dirty hands as he/she will not need to constantly physically manipulate the equipment. The remaining useful life estimation capability may also be retrofitted into conventional inspection systems by extracting pertinent features through spectral frequency analysis and sensor normalization and utilizing those features in the autonomous remaining useful life estimation system.

Claims

1. An evaluation system for materials comprising:

at least one computer;

a material features acquisition system operable to receive signals indicative of a plurality of material features while said material is not in operation;

utilizing a plurality of identifier equations and coefficients for analyzing said signals;

at least one database comprising at least one of constraints and material historical data;

wherein said at least one computer is programmed to utilize said plurality of identifier equations and coefficients and said at least one database to estimate a remaining useful life of a material under evaluation.

2. The evaluation system of claim 1, further comprising at least one of fingerprint, voiceprint, irisscan, face recognition and other biometric identification capability to recognize an operator.

3. The evaluation system of claim 1, wherein operator recognition is partially controlled by data inputted into said at least one computer from a camera in communication with said at least one computer.

4. The evaluation system of claim 1, further comprising a speech synthesizer and at least one of loudspeaker and earphone, wherein said at least one computer requests input of at least one of said constraints and material historical data from an operator through natural speech.

5. The evaluation system of claim 1, further comprising a speech recognition engine and at least one microphone, wherein at least one of said constraints and material historical data is inputted at least in part into said at least one computer by an operator through natural speech.

6. The evaluation system of claim 1, further comprising a sound recognition engine and at least one microphone, wherein at least one of said constraints and material historical data is obtained at least in part from said sound recognition engine.

7. The evaluation system of claim 1, wherein said material features is partially obtained and inputted into said at least one computer from a camera in communication with said at least one computer.

8. The evaluation system of claim 1 further comprising:

a sensor with an output, said output comprising signals indicative of said plurality of material features from said material under evaluation, in a time-varying electrical form;

a sensor interface for said at least one computer, wherein said output is in communication with said at least one computer and wherein said at least one computer converts said signals to a digital format, producing digital signals;

said at least one database further comprising material features recognition constraints;

a storage for said at least one computer, wherein said at least one database and said digital signals can be stored;

wherein said at least one computer is programmed to utilize said at least one database and said digital signals for identifying said plurality of material features detected by said sensor.

9. The evaluation system of claim 1, wherein said material features acquisition system is operable for at least one of induction of an excitation bias and induction of an excitation into said material under evaluation and detecting a material under evaluation response to the excitation through said sensor.

10. The evaluation system of claim 9 wherein said excitation produces said signals and is controlled, at least in part, by said at least one computer and wherein an excitation response characteristic is stored in said storage.

11. The evaluation system of claim 8, wherein said material features recognition constraints further comprise at least one of coefficients, rules, knowledge and data developed and inputted into said at least one computer prior to the evaluation of said material.

12. The evaluation system of claim 8, wherein said sensor further comprises memory storage, and wherein at least one of said at least one database, excitation response characteristic and digital signals can be stored and accessed by said at least one computer.

13. The evaluation system of claim 8, wherein at least one of said digital signals and said at least one database historical data are stored in said storage in a material length sequence, said material length sequence being obtained at least in part from said data acquisition system.

14. The evaluation system of claim 8, wherein said at least one computer is programmed to recognize a first material feature detected by said sensor.

15. The evaluation system of claim 14, wherein said at least one computer is programmed to recognize a second material feature detected by said sensor.

16. The evaluation system of claim 1, wherein said material features acquisition system can be adapted to operate a data acquisition system.

17. The evaluation system of claim 16, wherein at least one of said constraints and said material historical data of said at least one database are obtained at least in part from said data acquisition system.

18. The evaluation system of claim 16, wherein at least one of a material geometry feature and a material evaluation speed is obtained at least in part from said data acquisition system.

19. The evaluation system of claim 15, wherein said at least one computer is programmed to utilize said at least one database to evaluate a cumulative effect of said second material feature and said first material feature.

20. The evaluation system of claim 1, wherein said at least one database further comprises at least one of material selected use coefficients, rules, knowledge and data developed and inputted into said at least one computer.

21. The evaluation system of claim 1, wherein said at least one database further comprises at least one of knowledge and rules and coefficients involving at least one of bending, buckling, compression, cyclic loading, deflection, deformation, dynamic linking, dynamic loading, eccentricity, eccentric loading, elastic deformation, energy absorption, feature growth, feature morphology migration, feature propagation, impulse, loading, misalignment, moments, offset, oscillation, plastic deformation, propagation, shear, static loading, strain, stress, tension, thermal loading, torsion, twisting, vibration, and a combination thereof.

22. The evaluation system of claim 1, wherein said at least one database comprises at least one of said material with as-designed features, as-built features, alterations, as-is features, composition chemistry, deployment chemistry, corrosion, fatigue, hardness, loads, metallurgy, and a combination thereof.

23. The evaluation system of claim 1, wherein said at least one computer is programmed to utilize said at least one database to estimate said remaining useful life of said material after detection of a first material feature in said material under evaluation.

24. The evaluation system of claim 1, wherein said at least one computer is programmed to calculate at least one of a difference, a rate of change, a coverage change and a morphology shift of a material feature.

25. The evaluation system of claim 1, wherein said at least one computer is programmed to recommend a remediation path to extend said remaining useful life of said material under evaluation after detection of a first material feature.

26. The evaluation system of claim 25, wherein said remediation path comprises at least one of utilization, redeployment and alteration to a shape of said first material feature.

27. The evaluation system of claim 26, wherein said alteration to a shape of said first material feature comprises an optimal shape for extending said remaining useful life.

28. The evaluation system of claim 1, further comprising a timing mechanism, wherein signals produced by said material features acquisition system are stored in said at least one database with reference to a time when said signals were produced.

29. The evaluation system of claim 28, wherein said signals and said time are indicative of a productivity.

30. The evaluation system of claim 1 further comprising a communication link capable of communication with at least one of a storage device affixed to said material under evaluation and with a remote location.

31. The evaluation system of claim 1, further comprising a finite element analysis engine, whereby said at least one computer is programmed to utilize said finite element analysis engine to estimate a fitness for service of said material under evaluation and a remaining useful life of said material under evaluation in response to detection of a material feature in said material under evaluation.

32. The evaluation system of claim 31, wherein said at least one computer is operable by at least one expert on location or positioned at a remote location.

33. The evaluation system of claim 32, wherein said at least one computer capture a set of knowledge of said at least one expert and stores said captured knowledge in said at least one database.

34. The evaluation system of claim 31 wherein said at least one database further comprises at least one of a material identification, a material geometry, a material database, a finite element analysis model, an evaluation system setup, constraints, constants, tables, charts and, formulas or a combination thereof.

35. The evaluation system of claim 31 said at least one computer is programmed to operate said finite element analysis model for estimating a fitness for service and remaining useful life of an as-is material, said estimation controlled, at least in part, by said at least one database.

36. The evaluation system of claim 1 further comprising a storage device affixed to said material under evaluation, wherein said at least one computer is programmed for reading and writing into said storage device at least part of said at least one database.

37. The evaluation system of claim 1 wherein said material under evaluation comprises at least one of an aircraft, bridge, crane, drilling rig, frame, chemical plant component, engine component, oil country tubular good, pipeline, power plant component, rail, refinery, rolling stoke, sea going vessel, service rig, structure, vessel, workover rig, component of the above or a combination thereof.

38. The evaluation system of claim 1, further comprising a sound synthesizer and at least one of loudspeaker and earphone, wherein said at least one computer converts said remaining useful life into audible sound.

39. A method to evaluate material comprising:

removing said material from operation;

detecting an output of at least one sensor, said output comprising signals indicative of material feature from a material under evaluation, in a time-varying electrical form;

converting said signals to a digital format producing digital signals;

recognizing a material feature by programming said a at least one computer to analyze said digital signals; and

programming said at least one computer to calculate a remaining useful life of said material under evaluation.

40. The method of claim 39, further comprising the step of inducing excitation into said material under evaluation.

41. The method of claim 40, further comprising the step of inducing an excitation bias into said material under evaluation.

42. The method of claim 39, further comprising the step of decomposing in frequency said digital signals by a mathematical transform in the digital domain, wherein said mathematical transform in the digital domain comprises at least one of Fourier transform, wavelets and coiflets.

43. A method to evaluate material comprising:

removing said material from operation;

detecting an output of at least one sensor comprising at least one of echo, reluctance, resistance, impedance, absorption, attenuation, magnetic-flux-leakage, eddy-current or ultrasonic signals indicative of features from a material under evaluation, regardless of whether said material is rotating or non-rotating;

decomposing in frequency said signals, wherein said decomposing comprises passing said signals through at least one filter, producing decomposed in frequency signals;

converting said decomposed in frequency signals to a digital format producing digital signals;

recognizing a feature by utilizing at least one computer to analyze said digital signals; and

programming said at least one computer for calculating a remaining useful life of said material under evaluation.

44. The method of claim 43, further comprising the step of inducing excitation into said material under evaluation.

45. The method of claim 43, further comprising the step of inducing an excitation bias into said material under evaluation.

46. The method of claim 43, further comprising the step of decomposing in frequency said signals, wherein said decomposing comprises passing said signals through a filter bank.

47. A method to evaluate material comprising:

detecting an output of at least one sensor, said output comprising signals indicative of features from the material under evaluation, in a time-varying electrical form;

converting said signals to a digital format producing digital signals;

recognizing a material feature by utilizing at least one computer to analyze said digital signals;

programming said computer to estimate a remaining useful life of said material;

establishing communication with an identification system affixed to said material under evaluation utilizing said at least one computer; and

reading and/or writing into a storage device of said identification system utilizing said at least one computer.

48. The method of claim 47, whereby data read from or written to said storage device comprises at least one of a material identification, a material geometry, a material database, a finite element analysis model, an evaluation system setup, constraints, constants, tables, charts and, formulas, a historical data or any combination thereof.

49. The method of claim 47, whereby said computer is programmed to utilize said finite element analysis model to determine if the material is functional or not under selected constraints.

50. A method to calculate a material remediation for a material, comprising:

programming at least one computer to operate a material features acquisition system to detect a plurality of material features;

recognizing a material feature utilizing said at least one computer;

utilizing said computer to determine a remaining useful life based on detection of at least one material feature; and

programming said at least one computer for determining a material remediation path to increase said remaining useful life of said material.

51. The method of claim 50, wherein said material remediation path comprises at least one of utilization, redeployment and alteration to a shape of said material feature.

52. The method of claim 51, wherein said alteration to a shape of said material feature is an optimal shape for said remaining useful life.