Method of cavitation/flashing detection in or near a process control valve

• US 9,423,334 B2
• Filed: 08/27/2013
• Issued: 08/23/2016
• Est. Priority Date: 08/27/2013
• Status: Active Grant

• Current Assignee: Fisher Controls International LLC (Emerson Electric Company)
• Original Assignee: Fisher Controls International LLC (Emerson Electric Company)
• Inventors: Anderson, Shawn W.
• Primary Examiner(s): Larkin, Daniel S
• Assistant Examiner(s): MILLER, ROSE MARY
• Application Number:
  US14/011,469
• Publication Number:
  US 20150059886A1
• Time in Patent Office: 1,092 Days
• Field of Search: 735/81, 736/92
• US Class Current: 1/1
• CPC Class Codes: F16K 37/0083 by measuring valve parameters
• CPC Class Codes: F16K 37/0091 by measuring fluid parameters
• CPC Class Codes: F16K 51/00 Other details not peculiar to particular types of valves or cut-off apparatus
• CPC Class Codes: G01N 13/00 Investigating surface or boundary effects, e.g. wetting power; Investigating diffusion effects; Analysing materials by determining surface, boundary, or diffusion effects scanning-probe techniques or apparatus G01Q
• CPC Class Codes: G01N 2291/022 Liquids
• CPC Class Codes: G01N 2291/044 Internal reflections (echoes), e.g. on walls or defects
• CPC Class Codes: G01N 29/02 Analysing fluids using acoustic emission techniques G01N29/14 ; constructional or flow details for analysing fluids G01N29/222; optoacoustic fluid cells G01N29/2425
• CPC Class Codes: G01N 29/14 using acoustic emission techniques echo of particles G01N29/046; measuring mechanical vibrations or acoustic waves in solids in general G01H1/00
• CPC Class Codes: G01N 29/4409 by comparison
• CPC Class Codes: Y10T 137/8158 With indicator, register, recorder, alarm or inspection means

Abstract

A system and apparatus for detecting and monitoring cavitation inside a flow control device, such as a control valve, includes an acoustic emission sensor coupled to the flow control device in a manner to acquire acoustic signals caused by cavitation. A processor receives acoustic information from the acoustic emission sensor. The processor selectively identifies cavitation events from the acoustic information that meet certain predefined criteria. Cavitation levels are monitored based on at least one of a rate of cavitation events and intensity of individual cavitation events. The cavitation levels may be used to identify the presence of cavitation in the flow control device, to track accumulated cavitation in the flow control device, and/or to identify significant changes in the cavitation levels over time. This information may be used to reduce cavitation, estimate repair and maintenance, and/or monitor performance of the flow control device.

Claims

1. An apparatus for sensing cavitation in fluid flowing through a flow control device, the apparatus comprising:

an acoustic emission sensor configured to be disposed along a controlled fluid flow path extending through a body of the flow control device at a first selected location, wherein the acoustic emission sensor is arranged to detect acoustic signals produced by cavitation within the fluid flow path and to provide acoustic information based on the detected acoustic signals; and

a processor operatively coupled with the acoustic emission sensor and arranged to receive the acoustic information from the acoustic emission sensor, wherein the processor is arranged to process the acoustic information and monitor cavitation levels in the fluid flow path at least partly based on a rate of cavitation events and an intensity of individual cavitation events extracted from the acoustic information,

wherein the processor differentiates between different flow conditions in the fluid flow path, including between a normal flow condition and a cavitation flow condition above a predefined threshold cavitation level, and generates a report of the flow condition in the fluid flow path.

2. The apparatus of claim 1, wherein the flow control device comprises a control valve, wherein the body comprises a valve body of the control valve, and wherein the acoustic emission sensor is coupled to an exterior surface of the valve body and arranged to detect elastic waves produced by the cavitation and transmit signals arranged to provide the acoustic information to the processor.

3. The apparatus of claim 1, wherein the processor monitors an accumulation of cavitation levels over time.

4. The apparatus of claim 3, wherein the processor predicts a maintenance need based on the accumulation of cavitation levels.

5. The apparatus of claim 1, wherein the processor monitors a rate of estimated damage to the valve caused by the cavitation based on the cavitation levels.

6. The apparatus of claim 5, wherein the processor predicts a maintenance need based on the rate of estimated damage.

7. The apparatus of claim 1, wherein the flow control device is a pipe, and wherein the acoustic emission sensor is coupled to an exterior surface of the pipe and arranged to detect elastic waves produced by the cavitation and transmit signals to provide the acoustic information to the processor.

8. The apparatus of claim 1, wherein the processor differentiates between the different flow conditions based on at least one of frequency, amplitude, rise time, energy, and counts of signals provided by the acoustic emission sensors.

9. The apparatus of claim 1, further comprising:

a second acoustic emission sensor disposed along the fluid flow path at a second selected location, wherein the second acoustic emission sensor provides baseline acoustic information representative of acoustic signals sensed in the fluid flow path under the normal flow conditions.

10. The apparatus of claim 1, further comprising:

a digital valve positioner operatively coupled with the processor and with the control valve, the positioner arranged to control a position of a flow control member of the control valve, wherein the digital valve positioner receives position data representative of a position of the flow control member, and wherein the digital valve positioner correlates the acoustic information with the position and thereby identifies non-ideal flow conditions in the fluid flow path.

11. The apparatus of claim 1, wherein the acoustic emission sensor is integrated with at least one of a digital valve positioner, asset management software, and a process control system, within a computerized control system for a process control plant.

12. A method of monitoring cavitation levels in a flow control device for process liquids, wherein an acoustic emission sensor is coupled to an exterior wall of the flow control device and a processor is operatively coupled to the acoustic emission sensor to receive acoustic emission signals representative of transient acoustic energy data sensed in the fluid flow path by the acoustic emission sensor, the method comprising:

acquiring signals from the acoustic emission sensor with the processor;

determining if the acquired signals correspond to a cavitation event having predefined characteristics;

recording selected characteristics of the acquired signals with the processor only if the acquired signals are produced by a cavitation event; and

determining the cavitation level from the recorded selected characteristics, the cavitation level being determined based on a rate of cavitation events and an intensity of each cavitation event.

13. The method of claim 12, wherein a cavitation event is defined by an acquired signal that is within a predefined filter range.

14. The method of claim 12, further comprising:

determining the rate of cavitation events by calculating a hit rate comprising the number of cavitation events that occur within a period of time; and

determining the intensity by calculating an energy unit per cavitation event.

15. The method of claim 12, wherein the flow control device comprises a control valve including a flow control member, the method further comprising:

determining a position of the flow control member;

comparing an expected cavitation level correlated to the position of the flow control member with the determined cavitation level; and

generating an alert if the expected cavitation level deviates from the determined cavitation level within a predefined level of significance.

16. The method of claim 12, wherein recording selected characteristics of the acquired signals comprises recording a voltage and threshold crossings of the acquired signals.

17. A method of monitoring an estimate of damage to a flow control device for process liquids caused by cavitation, wherein an acoustic emission sensor is coupled to an exterior wall of the flow control device and a processor is operatively coupled to the acoustic emission sensor to receive acoustic emission signals representative of transient acoustic energy data sensed in the fluid flow path by the acoustic emission sensor, the method comprising:

acquiring signals from the acoustic emission sensor with the digital signal processor, wherein the acquired signals are associated with transient acoustic emission data within a pre-defined range of frequencies;

recording selected characteristics of the acquired signals with the digital signal processor only if the acquired signals are produced by a cavitation event wherein the acquired signals are within a predefined filter range;

calculating, from the recorded selected characteristics, a hit rate comprising the number of cavitation events that occur within a selected period of time;

calculating, from the recorded selected characteristics, an intensity of each cavitation event, the intensity comprising an energy unit per cavitation event;

determining a cavitation level based on the hit rate and the intensity; and

tracking an accumulation over time that the cavitation level exceeds a predetermined threshold, whereby an estimate of accumulated damage to the flow control device caused by cavitation may be monitored.

18. The method of claim 17, wherein the pre-defined range of frequencies is between about 500 kHz and about 1600 kHz.

19. The method of claim 17, wherein the characteristics of the acquired signals include at least one of a waveform of the acquired signal and an individual feature of the acquired signal.

20. The method of claim 17, wherein the step of determining comprises generating an alert only if the hit rate is greater than a predetermined hit rate threshold and the intensity is greater than a predetermined intensity threshold value.

21. The method of claim 20, wherein the step of tracking comprises incrementing a count in a counter in response to the alert to track a number of times the cavitation level exceeds the predetermined threshold, wherein the count is correlated with an estimation of damage to the flow control device.

22. The method of claim 20, wherein the step of tracking comprises tracking an accumulated amount of time that the cavitation level exceeds the predetermined threshold in response to the alert, wherein the accumulated amount of time is correlated with an estimation of damage to the flow control device.

23. A method of monitoring whether cavitation levels in a flow control device for process liquids are increasing, wherein an acoustic emission sensor is coupled to an exterior wall of the flow control device and a digital signal processor is operatively coupled to the acoustic emission sensor to receive acoustic emission signals representative of transient acoustic energy data sensed in the fluid flow path by the acoustic emission sensor, the method comprising:

acquiring signals from the acoustic emission sensor with the digital signal processor, wherein the acquired signals are generated in response to transient acoustic emission data within a pre-defined range of frequencies;

recording selected characteristics of the acquired signals with the digital signal processor only if the acquired signals are produced by a cavitation event wherein the acquired signals are within a predefined filter range;

calculating, from the recorded characteristics, a hit rate comprising the number of cavitation events that occur within a period of time;

calculating, from the recorded characteristics, an intensity of each cavitation event, the intensity comprising an energy unit per cavitation event;

calculating a trend of the hit rates and intensities with respect to time; and

generating an alert that cavitation levels are increasing if the trend indicates that the hit rates and intensities are increasing over time.

24. The method of claim 23, wherein the alert is generated only if the trend shows that cavitation levels are increasing at a rate greater than a preselected rate within a preselected level of statistical significance.