Compressor Valve Health Monitor

• US 20170030349A1
• Filed: 07/28/2015
• Published: 02/02/2017
• Est. Priority Date: 07/28/2015
• Status: Active Grant

• Current Assignee: Computational Systems Incorporated (Emerson Electric Company)
• Original Assignee: Computational Systems Incorporated (Emerson Electric Company)
• Inventors: Bassett, Timothy Scott, Heller, Matthew Carl, Ford, Terry Lynn
• Granted Patent: US 9,759,213 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: F04B 2203/0209 Rotational speed
• CPC Class Codes: F04B 2207/70 Warnings
• CPC Class Codes: F04B 27/0451 Particularities relating to the distribution members F04B27/0472, F04B27/0531 and F04B27/0535 take precedence
• CPC Class Codes: F04B 39/10 Adaptations or arrangements of distribution members
• CPC Class Codes: F04B 49/065 and making use of computers
• CPC Class Codes: F04B 51/00 Testing machines, pumps, or pumping installations
• CPC Class Codes: F04B 53/10 Valves; Arrangement of valves

Abstract

A rotating machine valve health monitor. Aspects of the valve monitor include instrumenting each valve of a reciprocating compressor, or other rotating machine, with a sensor capable of detecting at least vibration and instrumenting the crank shaft with a sensor capable of detecting at least rotation. A controller directly monitors the operation and condition of each valve to precisely identify any individual valve exhibiting leakage issues rather than only identifying the region of the leakage. The valve monitor uses a relatively high frequency stress wave analysis technique to provide a good signal-to-noise ratio to identify impact events indicative of leakage. The valve monitor uses circular waveforms of vibration data for individual valves to identify leakage by pattern recognition or visual identification. The valve monitor provides ongoing data collection to give warning of predicted valve failure and scheduling of preventative maintenance for failing valves.

Claims

1. A valve monitor for use with a rotating machine having a plurality of valves and a rotating element, the valve monitor comprising:

a plurality of valve sensors detecting at least vibration, each valve sensor uniquely associated with one of the valves, each valve sensor measuring vibrations at the associated valve and generating a vibration signal;

a tachometer associated with the rotating element of the rotating machine to measure rotation of the rotating element; and

a signal processing module in communication with each valve sensor and the tachometer, the signal processing module including a frequency filter operable to remove low frequency components below a selected frequency from the vibration signal to produce a filtered vibration signal, the signal processing module operable to;

correlate the vibration signal with an angular position corresponding to the rotation of the rotating element;

apply a stress wave analysis to digital data representing the filtered vibration signal from a selected valve to produce analyzed data corresponding to flow turbulence at the selected valve; and

generate a circular waveform representing the flow turbulence at the selected valve based on the analyzed data.

2. The valve monitor of claim 1 wherein the signal processing module is further operable to selectively decimate the vibration data based on a selected characteristic, wherein the selected characteristic is a maximum amplitude, a minimum amplitude, a differential amplitude, a median amplitude, a statistical variance, a peak shape factor, a parametric versus casual characteristic, a skewness factor, or a kurtosis factor.

3. The valve monitor of claim 1 further comprising a health processing module in communication with the signal processing module, the health processing module operable to:

assess valve health of the selected valve using the corresponding circular waveforms to compare the selected current operating parameters of the selected valve to corresponding baseline parameters of the selected valve; and

generate an alarm indicating that the selected valve has experienced degradation when the selected current operating parameters are out of tolerance relative to the corresponding baseline parameters

4. The valve monitor of claim 1 wherein the signal processing module is further operable to:

identify regions of interest within the circular waveform, the regions of interest including angular ranges in which selected maximum peak amplitudes occur;

assign waveform parameter bands corresponding to the angular range covering the regions of interest.

5. The valve monitor of claim 4 further comprising a data storage unit for archival of data and wherein the signal processing module is further operable to:

store at least one of the vibration signal, the digital data, and the analyzed data corresponding to the waveform parameter bands in the data storage unit; and

monitor trends in the analyzed data corresponding to the waveform parameter bands.

6. The valve monitor of claim 4 wherein the signal processing module is further operable to:

assign alarm levels indicating when the selected current operating parameters are out of tolerance relative to the corresponding baseline parameters; and

monitor alarm levels only within the waveform parameter bands.

7. The valve monitor of claim 1 wherein the health processing module further comprises a pattern recognition module operable to detect patterns in the circular waveform corresponding to current operating parameters of the selected valve.

8. The valve monitor of claim 1 wherein the health processing module further comprises a prediction module operable to detect patterns in the circular waveforms corresponding to current operating parameters of the selected valve.

9. The valve monitor of claim 1 wherein one of the signal processing module and the health processing module is operable to:

detect when the filtered vibration signal for the selected valve is outside of alarm levels; and

initiate further analysis of the selected valve to assess valve health.

10. The valve monitor of claim 1 wherein each valve sensor further includes a temperature sensor measuring a temperature at the associated valve, the health processing module operable to:

monitor the selected valve for increases in the temperature corresponding to valve degradation; and

assess valve health of the selected valve based on both temperature and a comparison of the selected current operating parameters of the selected valve to corresponding baseline parameters of the selected valve using the corresponding circular waveforms.

11. The valve monitor of claim 1 wherein the selected frequency is at least about 5 kHz.

12. A method of directly monitoring individual valves of a compressor having multiple cylinders, a piston associated with each cylinder, and a crankshaft driving the pistons, each cylinder comprising a cylinder head having a plurality of valves, the method comprising the acts of:

uniquely associating, with each valve, a valve sensor measuring at least vibrations;

measuring an analog vibration signal from each valve sensor;

converting each analog vibration signal into digital vibration data;

for each valve;

removing low frequency vibration components from the digital vibration data;

analyzing the digital vibration data using a high frequency stress wave analysis technique to generate analyzed digital vibration data;

generating a circular waveform based on the analyzed digital vibration data corresponding to the valve; and

determining a health for each valve based on one or more peaks appearing in the circular waveform.

13. The method of claim 12 further comprising the acts of:

associating a tachometer with the crankshaft;

measuring a pulse from the tachometer corresponding to a revolution of the crankshaft; and

plotting the circular waveform relative to the pulse, wherein the pulse represents a zero degree angular position.

14. The method of claim 12 wherein the act of determining a health for each valve based on one or more peaks appearing in the circular waveform further comprises the acts of:

determining that the valve is operating properly when the corresponding circular waveform contains a single distinct peak; and

determining that the valve is malfunctioning when the corresponding circular waveform contains multiple indistinct peaks with lower peak amplitudes.

15. The method of claim 14 wherein the act of determining a health for each valve based on one or more peaks appearing in circular waveform further comprises the acts of:

collecting a temperature signal from each valve;

correlating the analyzed digital vibration data with the temperature signal; and

determining that the valve is malfunctioning when the corresponding circular waveform contains multiple indistinct peaks and the temperature signal shows an increasing valve temperature.

16. The method of claim 12 further comprising the acts of:

accumulating digital vibration data over time for each valve;

identifying one of the valves as a degraded valve based on changes in accumulated digital vibration data associated with that valve over time;

assigning a degradation level to the degraded valve based on the changes in the accumulated digital vibration data associated with that valve; and

generating a notification pertaining to the degraded valve.

17. The method of claim 12 further comprising the acts of:

calculating values of a representative characteristic of the digital vibration data within multiple sampling intervals corresponding to a target sample rate; and

generating downsampled digital vibration data from the values of the representative characteristic for each sampling interval.

18. The method of claim 17 wherein the act of calculating a value of the representative characteristic of the digital vibration data within the sampling interval corresponding to the target sample rate further comprises the act of calculating at least one of a maximum amplitude, a minimum amplitude, a differential amplitude, a median amplitude, a statistical variance, a peak shape factor, a parametric versus casual characteristic, a skewness factor, or a kurtosis factor of the digital vibration data within the sampling interval.

19. The method of claim 12 further comprising the acts of:

storing at least one of the digital vibration data and the analyzed digital vibration data as historical data; and

analyzing the historical data for trends; and

predicting failure of the valves based on a rate of change of a selected parameter in the analyzed digital vibration data.

20. A valve monitor for use with a reciprocating compressor having multiple valves operatively driven by a crankshaft, the valve monitor comprising:

a valve sensor uniquely associated with one of the valves for measuring vibrations at the associated valve and producing a vibration signal based thereon;

a tachometer associated with the crankshaft to measure rotation of the crankshaft;

a signal processing module in communication with each valve sensor and the tachometer, the signal processing module including a frequency filter operable to remove low frequency components below a frequency of at least about 5 kHz from the vibration signal to produce a high frequency vibration signal, the signal processing module operable to;

correlate the vibration signal with an angular position corresponding to the rotation of the crankshaft;

monitor trends in the vibration signal in relation to alarm limits;

perform stress wave analysis using the high frequency vibration signal from the valve to produce analyzed data corresponding to the flow turbulence at the valve when the high frequency vibration signal is outside alarm limits; and

generate a circular waveform representing the flow turbulence at the selected valve based on the analyzed data; and

a health processing module in communication with the signal processing module, the health processing module operable to;

assess valve health of the valve based on a comparison of current operating parameters of the valve to corresponding baseline parameters of the valve using the circular waveform;

identify the valve as failing when the current operating parameters are out of tolerance relative to the corresponding baseline parameters;

predict a failure time for the valve based on a rate of change of the current operating parameters relative to previous operating parameters; and

generate an alarm indicating the predicted failure time in advance of actual failure of the valve.