Industrial process sensor with sensor coating detection

• US 7,579,947 B2
• Filed: 10/17/2006
• Issued: 08/25/2009
• Est. Priority Date: 10/19/2005
• Status: Active Grant

• Current Assignee: Rosemount Incorporated (Emerson Electric Company)
• Original Assignee: Rosemount Incorporated (Emerson Electric Company)
• Inventors: Peluso, Marcos A. V.
• Primary Examiner(s): Goins; Davetta W
• Assistant Examiner(s): LAU, HOI CHING
• Application Number:
  US11/582,121
• Publication Number:
  US 20070085670A1
• Time in Patent Office: 1,043 Days
• Field of Search: 340/595, 340/514, 340/501, 340/539.26, 702/85, 702/104, 702/45, 738/612.3, 738/612.2, 738/611.2, 738/611.5, 735/97, 736/02
• US Class Current: 340/539.26
• CPC Class Codes: G01D 3/08 with provision for safeguarding the apparatus, e.g. against abnormal operation, against breakdown
• CPC Class Codes: G01K 15/00 Testing or calibrating of thermometers

Abstract

An industrial process sensor having a sensor component exposed to process fluid detects when the sensor performance has been degraded by a sensor coating buildup from the process fluid. A baseline statistical metric, such as standard deviation of the process parameter sensed by the sensor, is determined during an initial operating period when the sensor component is clean. During continued operation of the sensor, the statistical metric is continually updated and monitored. An alarm output indicating that sensor coating has degraded sensor performance is produced when the current value of the statistical metric varies from the baseline value by an amount indicating degraded sensor performance.

Claims

1. A method of detecting coating of a sensor component exposed to a process fluid;

the method comprising;

sensing a process parameter during an initial period with the sensor component exposed to a process fluid;

determining a baseline value of a statistical metric based on the process parameter during the initial period;

sensing the process parameter subsequent to the initial period;

determining a current value of the statistical metric based on the process parameter sensed subsequent to the initial period; and

providing an output indicative of coating of the sensor component as a function of the current value and the baseline value.

2. The method of claim 1, wherein the output is provided when the current value differs from the baseline value by an amount indicative of degraded sensor performance.

3. The method of claim 1, wherein the statistical metric is a standard deviation of the sensed process parameter.

4. The method of claim 3, wherein the process parameter is temperature.

5. The method of claim 1, wherein the output provides an indication of an extent of coating build-up.

6. The method of claim 1, and further comprising using configuration data to calculate a coating thickness.

7. The method of claim 1, wherein the sensor component comprises one of a temperature sensor, a thermowell, a pH sensor, remote pressure sensor seals, and a vortex shedding flowmeter component.

8. A method of detecting coating of a sensor component exposed to a process fluid, the method comprising:

sensing a process parameter;

providing a measurement value as a function of the process parameter sensed;

performing a statistical analysis of the measurement value to derive a metric that is a function of sensor coating; and

providing a diagnostic output indicative of sensor coating based on the metric.

9. The method of claim 8, wherein the metric comprises a standard deviation of the measurement value.

10. The method of claim 8, wherein providing a diagnostic output comprises:

comparing a current derived metric to a baseline metric; and

producing the diagnostic output if the current derived metric differs from the baseline metric by an amount indicative of sensor coating.

11. The method of claim 8, wherein the process parameter is one of temperature, pH, pressure and flow.

12. Apparatus for use in a process control system, the apparatus comprising:

a sensor for sensing a process parameter of a process fluid, the sensor including a sensor component that contacts the process fluid;

measurement circuitry connected to the sensor for producing measurement values based upon the process parameter sensed;

I/O circuitry for providing an output based on the measurement values; and

diagnostic circuitry for detecting material build-up on the sensor component based upon a statistical analysis of the measurement values.

13. The apparatus of claim 12, wherein the diagnostic circuitry compares values of a statistical metric produced by measurements during different time periods to detect material build-up.

14. The apparatus of claim 13, wherein the diagnostic circuitry compares a current value of the metric to a baseline value of the metric, representing sensor performance during a time of minimal material build-up.

15. The apparatus of claim 14, wherein the diagnostic circuitry causes the I/O circuitry to produce a diagnostic output when the current value of the metric differs from the baseline value by an amount indicative of material build-up.

16. The apparatus of claim 13, wherein the statistical metric comprises a standard deviation of the measurement values.

17. The apparatus of claim 12, wherein the sensor component comprises one of a temperature sensor, a thermowell, a pH sensor, a remote seal for a pressure sensor, and a vortex shedding flowmeter component.

18. The apparatus of claim 12, wherein the measurement circuitry comprises an analog-to-digital converter, and the diagnostic circuitry comprises a microprocessor.

19. The apparatus of claim 12, wherein the diagnostic circuitry causes the I/O circuitry to produce a diagnostic output when material build-up is detected.

20. The apparatus of claim 12, wherein the diagnostic circuitry comprises a memory for storing the measurement values and a digital processor for performing a statistical analysis based on the stored measurement values.