Compressor valve health monitor

US9759213B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9759213-B2
Application numberUS-201514811249-A
CountryUS
Kind codeB2
Filing dateJul 28, 2015
Priority dateJul 28, 2015
Publication dateSep 12, 2017
Grant dateSep 12, 2017

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  1. Title

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  2. Abstract

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  5. First independent claim

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Abstract

Official abstract text for this publication.

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.

First claim

Opening claim text (preview).

What is claimed is: 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 c

Assignees

Inventors

Classifications

  • Particularities relating to the distribution members (F04B27/0472, F04B27/0531 and F04B27/0535 take precedence) · CPC title

  • Rotational speed · CPC title

  • Adaptations or arrangements of distribution members · CPC title

  • and making use of computers · CPC title

  • F04B51/00Primary

    Testing machines, pumps, or pumping installations · CPC title

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What does patent US9759213B2 cover?
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…
Who is the assignee on this patent?
Computational Systems Inc
What technology area does this patent fall under?
Primary CPC classification F04B51/00. Mapped technology areas include Mechanical Engineering.
When was this patent published?
Publication date Tue Sep 12 2017 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 3 related publications on this page (citations in our corpus or others sharing the same primary CPC).