SYSTEMS AND METHODS FOR DETERMINING A LEAK RATE THROUGH AN OPENING USING ACOUSTICAL SENSORS

• US 20160011072A1
• Filed: 12/23/2013
• Published: 01/14/2016
• Est. Priority Date: 12/27/2012
• Status: Active Grant

• Current Assignee: Score Group PLC
• Original Assignee: Score Group PLC
• Inventors: HALE, Stanley Neil
• Granted Patent: US 9,810,598 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G01F 1/662 Constructional details
• CPC Class Codes: G01M 3/24 using infrasonic, sonic, or ultrasonic vibrations
• CPC Class Codes: G01M 3/243 for pipes
• CPC Class Codes: G01M 3/26 by measuring rate of loss or gain of fluid, e.g. by pressure-responsive devices, by flow detectors

Abstract

Disclosed herein are various implementations of systems and methods for improving the process and accuracy of converting acoustical signals to leak rates through a structure, such as a closed valve or coupling, using filtering techniques and modal analysis. These systems and methods may be useful for verifying the accuracy of the conventional approaches and inventive processes and systems for improving leak rate quantification using acoustic emissions. For example, a testing apparatus for simulating a leak through a structure and methods for correlating an acoustical signal with a leak rate are disclosed. The information gathered from the testing apparatus and/or correlation methods may be used in the field to determine more accurately the leak rate of a fluid or gas through the structure.

Claims

1. A method of determining the leak rate of a fluid or gas through at least one opening in a structure comprising the steps of:

receiving at least one acoustical signal from at least one acoustical sensor positioned a known distance from a structure, the acoustical signal being associated with a leak through the at least one opening in the structure;

receiving a low frequency component and a high frequency component of the acoustical signal;

calculating a ratio of the low frequency component to the high frequency component; and

identifying a leak rate associated with the calculated ratio.

2. The method of claim 1, wherein the step of identifying the leak rate associated with the calculated ratio comprises executing an algorithm that provides the leak rate.

3. The method of claim 1, wherein the step of identifying the leak rate associated with the calculated ratio comprises retrieving the leak rate associated with the calculated ratio from a memory of a computing device, the memory configured to store a plurality of ratios and corresponding leak rates.

4. The method of claim 1, wherein the leak rate is associated with the calculated ratio and at least one of the following:

a pressure on the structure, a leak path geometry, a structure wall thickness, or a distance to a leak path from the at least one acoustical sensor.

5. The method of claim 1, further comprising the step of conducting a Fourier transform of the low frequency component and the high frequency component, wherein calculating the ratio comprises calculating the ratio of the Fourier transformed low frequency component and the Fourier transformed high frequency component.

6. The method of claim 1, further comprising determining an average signal level for each of the high frequency component and the low frequency component.

7. The method of claim 1, further comprising filtering the acoustical signal into the low frequency component and the high frequency component.

8. The method of claim 1, wherein receiving the low frequency component and the high frequency component comprises determining the low frequency component and the high frequency component of the acoustical signal.

9. The method of claim 1, wherein the structure is a valve.

10. The method of claim 1, wherein the structure is a coupling.

11. The method of claim 9 or 10, wherein the opening is a crack in the structure or a physical degradation of the valve sealing surface.

12. An acoustical sensor and computer system comprising:

at least one acoustical sensor, the acoustical sensor configured for being disposed adjacent a structure; and

a computing device comprising a processor in communication with the at least one acoustical sensor and a memory, the processor configured for;

receiving at least one acoustical signal from the at least one acoustical sensor, the acoustical signal comprising a low frequency component and a high frequency component,

calculating a ratio of the low frequency component and the high frequency component, and

identifying a leak rate associated with the calculated ratio.

13. The acoustical sensor and computer system of claim 12, wherein the processor is further configured for filtering the acoustical signal to determine the low frequency component and the high frequency component.

14. The acoustical sensor and computer system of claim 12, wherein the processor is further configured for determining the low frequency component and the high frequency component from the received at least one acoustical signal.

15. The acoustical sensor and computer system of claim 12, wherein the processor is further configured for applying a Fourier transform to the low frequency component and the high frequency component.

16. The acoustical sensor and computer system of claim 15, wherein calculating the ratio comprises calculating the ratio of the transformed low frequency component and the transformed high frequency component.

17. The acoustical sensor and computer system of claim 12, wherein identifying the leak rate associated with the calculated ratio comprises executing an algorithm that provides the leak rate.

18. The acoustical sensor and computer system of claim 12, wherein identifying the leak rate associated with the calculated ratio comprises retrieving the leak rate associated with the calculated ratio from the memory, wherein the memory is configured to store a plurality of ratios and corresponding leak rates.

19. The acoustical sensor and computer system of claim 12, wherein the leak rate is associated with the calculated ratio and at least one of the following:

a pressure on the structure, a leak path geometry, a structure wall thickness, or a distance to at least one leak path from the at least one acoustical sensor.

20. The acoustical sensor and computer system of claim 19, wherein the at least one leak path is a crack in the structure.

21. The acoustical sensor and computer system of claim 12, wherein the processor is further configured for determining an average signal level for each of the high frequency component and the low frequency component.

22. The acoustical sensor and computer system of claim 12, wherein the structure is a valve.

23. The acoustical sensor and computer system of claim 12, wherein the structure is a coupling.

24. A method of correlating an acoustical signal with a leak rate of a fluid or gas through at least one opening in a structure, the steps comprising:

receiving at least one acoustical signal from at least one acoustical sensor positioned a known distance from a structure;

receiving a low frequency component and a high frequency component of the acoustical signal;

calculating a ratio of the low frequency component to the high frequency component;

associating the ratio with a known leak rate through the structure; and

storing the associated ratio and the known leak rate in a memory of a computing device.

25. The method of claim 24, wherein the structure is a valve.

26. The method of claim 24, wherein the structure is a leak simulator.

27. The method of claim 24, wherein the structure is a coupling.

28. The method of claim 24, further comprising the step of associating the ratio and the known leak rate with a type of structure.

29. The method of claim 28, wherein the type of structure comprises at least one of an associated leak geometry and an associated structure wall thickness.

30. The method of claim 24, 28, or 29, further comprising the step of associating the ratio and the known leak rate with a pressure on the structure.

31. The method of claim 24, 28, or 29, further comprising the step of associating the ratio and the known leak rate with a distance to the opening from the at least one acoustical sensor.

32. The method of claim 31, wherein:

the at least one opening comprises a first opening and a second opening,

the distance from the acoustical sensor comprises a first distance to the first opening and a second distance to the second opening, and

the ratio and the known leak rate are associated with the first and second distances.

33. The method of claim 24, wherein:

receiving the acoustical signal comprises receiving a first acoustical signal from a first acoustical sensor and a second acoustical signal from a second acoustical sensor, the first acoustical sensor being disposed a first distance from the opening, and the second acoustical sensor being disposed a second distance from the opening, wherein the first and second distances are different,

receiving the low frequency component and the high frequency component of the acoustical signal comprises receiving a first low frequency component and a first high frequency component of the first acoustical signal and a second low frequency component and a second high frequency component of the second acoustical signal,

calculating the ratio of the low frequency component to the high frequency component comprises calculating a first ratio of the first low frequency component to the first high frequency component and calculating a second ratio of the second low frequency component to the second high frequency component;

associating the ratio with the known leak rate comprises associating the first ratio with the known leak rate and the first distance and associating the second ratio with the known leak rate and the second distance; and

storing the associated ratio and the known leak rate in the memory of the computing device comprises storing the associated first ratio with the known leak rate and the first distance and storing the associated second ratio with the known leak rate and the second distance.

34. The method of claim 33, wherein:

the at least one opening comprises a first opening and a second opening,

the first distance from the first acoustical sensor comprises a third distance to the first opening and a fourth distance to the second opening, and the second distance from the second acoustical sensor comprises a fifth distance to the first opening and a sixth distance to the second opening, and

the first ratio is associated with the known leak rate and the third and fourth distances, and the second ratio is associated with the known leak rate and the fifth and sixth distances.

35. The method of claim 24, further comprising conducting a Fourier transform of the low frequency component and the high frequency component, wherein calculating the ratio of the low frequency component to the high frequency component comprises calculating the ratio of the transformed low frequency component to the transformed high frequency component.

36. The method of claim 35, further comprising the step of determining an average signal level for each of the high frequency component and the low frequency component.

37. The method of claim 24, further comprising filtering the at least one acoustical signal to determine the low frequency component and the high frequency component.

38. A testing apparatus comprising:

a leak simulator disposed between a high pressure conduit and a low pressure conduit, the leak simulator comprising at least one leakage insert that defines at least one leak path, the at least one leak path being in communication with the high pressure conduit and the low pressure conduit; and

a processor in communication with at least one acoustical sensor, the processor configured for;

receiving at least one acoustical signal from the at least one acoustical sensor, the at least one acoustical signal comprising a low frequency component and a high frequency component,

calculating a ratio of the low frequency component and the high frequency component,

associating the calculated ratio with the leak rate through the leak path, and

storing the ratio and the leak rate in a memory of a computing device.

39. The testing apparatus of claim 38, wherein the processor is further configured for applying a Fourier transform to the low frequency component and the high frequency component, and calculating the ratio of the low frequency component and the high frequency component comprises calculating the ratio of the transformed low frequency component and the transformed high frequency component.

40. The testing apparatus of claim 38, wherein the at least one acoustical sensor is disposed adjacent an outer surface of the leakage insert and a known distance from the leak path.

41. The testing apparatus of claim 38, wherein the leak simulator comprises at least two leakage inserts, the at least two leakage inserts defining the leak path through the leak simulator.

42. The testing apparatus of claim 41, wherein the leak simulator further comprises at least one spool between the two leakage inserts to simulate a double seated valve.

43. The testing apparatus of claim 38, wherein the processor is further configured for associating the calculated ratio and the leak rate with at least one of the pressure on the leak simulator, a leak path geometry associated with the leak path, the thickness of the leakage insert, or the distance between the acoustical sensor and the leak path.

44. The testing apparatus of claim 38, further comprising a first acoustical sensor mounted a first distance from the leak path and a second acoustical sensor mounted a second distance from the leak path, the first distance and the second distance being different.

45. The testing apparatus of claim 38, further comprising a first pressure transducer and a second pressure transducer, the first pressure transducer configured for receiving a first pressure signal from a fluid or gas leak through the high pressure conduit and the second pressure transducer configured for receiving a second pressure signal from a fluid or gas leak through the low pressure conduit.

46. The testing apparatus of claim 38, further comprising a bubble counter.

47. The testing apparatus of claim 38, further comprising at least one calibrated flow meter configured for recording leakage through the leak path.

48. The testing apparatus of claim 38, wherein the low pressure conduit is mounted on at least one wheel.

49. The testing apparatus of claim 38, wherein the processor is further configured for determining an average signal level from the acoustical signal.