Method, system and storage medium for performing online valve diagnostics

• US 20040228173A1
• Filed: 02/12/2004
• Published: 11/18/2004
• Est. Priority Date: 02/14/2003
• Status: Active Grant

• Current Assignee: Dresser, LLC (GE Aerospace)
• Original Assignee: Dresser Incorporated (Nagano Keiki Company Limited)
• Inventors: Schoonover, Larry
• Granted Patent: US 7,089,086 B2
• Time in Patent Office: Days
• US Class Current: 365/158
• CPC Class Codes: G05B 17/02 electric
• CPC Class Codes: G05B 23/0243 model based detection method, e.g. first-principles knowledge model
• CPC Class Codes: G05B 23/0254 based on a quantitative model, e.g. mathematical relationships between inputs and outputs; functions: observer, Kalman filter, residual calculation, Neural Networks

Abstract

Methods and systems for performing online valve diagnostics. Valve characteristics such as step response, friction and spring range are determined while the valve is operating in a process without intervention by a controller deriving the valve diagnostics. Valve information is obtained while the valve operates in response to a control signal controlling a process while the valve operates through a series of gradual movements. Valve characteristics are then determined from the valve information.

Claims

1. A method of performing online valve diagnostics for a valve operating in a process, the method comprising:

obtaining valve information while said valve operates in response to a control signal controlling said process, said valve operating through a series of gradual movements;

said valve information including at least two of setpoint data, position data and pressure data;

deriving at least one of step response, friction and spring range for said valve based on said valve information.

2. The method of claim 1 further comprising:

deriving a model of valve response to setpoint changes in response to said valve information;

adjusting said model in response to error between predictions generated by said model and actual position information; and

applying a step input to model to generate a step response.

3. The method of claim 2 wherein:

adjusting said model includes adjusting a first parameter affecting response time.

4. The method of claim 3 wherein:

adjusting said model includes adjusting a second parameter affecting overshoot.

5. The method of claim 2 wherein:

said deriving said model includes taking a derivative of a setpoint data and taking a derivative of position data;

solving for a set of coefficients that minimizes the error estimating said derivative of position data from said derivative of input data to define a wavelet;

said applying said step input to said model includes integrating said wavelet; and

deriving response time and overshoot from said step response.

6. The method of claim 2 wherein:

said deriving said model includes obtaining plurality of wavelets in response to setpoint changes;

said adjusting includes selecting one of said wavelets with minimal error;

deriving a step response by applying said wavelet to an impulse; and

deriving response time and overshoot from said step response.

7. The method of claim 1 further comprising:

deriving a distribution of said position data by transforming said pressure data and said position data in response to a spring range of said valve;

determining friction of said valve in response to said distribution.

8. The method of claim 7 wherein:

said determining friction includes determining a difference between an upper percentile and a lower percentile of said distribution.

9. The method of claim 8 wherein:

said upper percentile is 90 percent and said lower percentile is 10 percent.

10. The method of claim 7 wherein:

said deriving said distribution includes projecting position data to a pressure axis along a slope corresponding to said spring range.

11. The method of claim 1 further comprising:

deriving a plurality of distributions of said position data in response to a plurality spring ranges of said valve;

selecting one of said spring ranges in response to variance of said plurality of distributions.

12. A system for deriving valve characteristics of a valve operating in a process, the system comprising:

a process controller generating control signals to operate said valve through a series of gradual movements;

a positioner receiving said control signals and generating a signal for positioning said valve;

a controller receiving valve information from said positioner, said valve information including at least two of setpoint data, position data and pressure data;

said controller deriving at least one of step response, friction and spring range for said valve based on said valve information.

13. A storage medium encoded with machine-readable computer program code for deriving valve characteristics of a valve operating in a process, the storage medium including instructions for causing a controller to implement a method comprising:

obtaining valve information while said valve operates in response to a control signal controlling said process, said valve operating through a series of gradual movements;

said valve information including at least two of setpoint data, position data and pressure data;

deriving at least one of step response, friction and spring range for said valve based on said valve information.