Self-validating sensors

• US 5,570,300 A
• Filed: 03/20/1995
• Issued: 10/29/1996
• Est. Priority Date: 04/22/1992
• Status: Expired due to Term

• Current Assignee: Invensys Systems Incorporated (Invensys PLC)
• Original Assignee: The Foxboro Company (Schneider Electric SE)
• Inventors: Mattar, Wade M., Yang, Janice, Henry, Manus P., Clarke, David W.
• Primary Examiner(s): Cosimano, Edward R.
• Application Number:
  US08/406,805
• Time in Patent Office: 589 Days
• Field of Search: 73/32 A, 364/510, 364/550, 364/551.01
• US Class Current: 702/45
• CPC Class Codes: G01F 1/8436 signal processing
• CPC Class Codes: G01F 1/8477 with multiple measuring conduits
• CPC Class Codes: G01F 15/024 involving digital counting
• CPC Class Codes: G01K 15/00 Testing or calibrating of thermometers

Abstract

A sensor for provides a measurement and information about the validity of the measurement. The sensor includes a transducer for generating a data signal related to the value of a variable and a transmitter for receiving the data signal and generating output signals. The transmitter generates a first output signal related to the value of the variable. The transmitter also generates a second output signal based on a dynamic uncertainty analysis of the first output signal.

Claims

1. A method of providing a measurement and an indication about the validity of the measurement when the occurrence of a fault has been detected in the source of the measurement, the method comprising:

combining multiple estimates of the measurement to produce a combined estimate for the measurement,

combining uncertainty measures for each of the multiple estimates to produce an uncertainty measure for the combined estimate for the measurement,

when the occurrence of a fault has been detected, providing the combined estimate for the measurement as a value for the measurement at a current time, and

when the occurrence of a fault has been detected, providing the uncertainty measure for the combined estimate for the measurement as an indication of the validity of the value for the measurement at the current time.

2. The method of claim 1, wherein the measurement comprises measurements of mass flow, density and temperature produced by a self-validating Coriolis flow meter and a source of the measurement is one or more transducers for generating a first data signal related to mass flow, a second data signal related to density, and a third data signal related to temperature.

3. The method of claim 1, wherein the measurement is a temperature measurement produced by a self-validating temperature sensor and a source of the temperature measurement is a temperature sensing transducer.

4. The method of claim 3, further comprising detecting a loss of contact fault in the temperature sensing transducer by:

storing an output of the temperature sensing transducer,

after storing the output, connecting the temperature sensing transducer to a voltage source for a predetermined time period,

comparing an output of the temperature sensing transducer after the predetermined time period to the stored output, and

detecting a loss of contact fault based on a result of the comparing step.

5. The method of claim 1, wherein:

the step of combining multiple estimates comprises combining a first estimate that is based on short term past values of the measurement from a first time interval with a second estimate that is based on long term past values of the measurement from a second time interval that began at an earlier time than did the first time interval, and

the step of combining uncertainty measures comprises combining a first uncertainty measure for the first estimate with a second uncertainty measure for the second estimate to produce the uncertainty measure for the combined estimate.

6. The method of claim 5, wherein the first estimate corresponds to a value of the measurement immediately prior to the occurrence of the fault.

7. The method of claim 5, wherein the step of combining the first estimate with the second estimate comprises weighting the first estimate according to the first uncertainty measure and weighting the second estimate according to the second uncertainty measure.

8. The method of claim 7, wherein the step of combining the first estimate with the second estimate comprises multiplying the first estimate by a factor that comprises the second uncertainty measure squared divided by a sum of the second uncertainty measure squared and the first uncertainty measure squared and adding a result of this multiplication to a result of multiplying the second estimate by a factor that comprises the first uncertainty measure squared divided by a sum of the second uncertainty measure squared and the first uncertainty measure squared.

9. The method of claim 1, wherein a first estimate of the measurement is associated with a time interval and is based on at least one value of the measurement during the time interval.

10. The method of claim 9, wherein the first estimate comprises a mean value of the measurement during the time interval.

11. The method of claim 10, wherein the uncertainty measure for the first estimate indicates that the measurement can have any value observed for the measurement during the time interval.

12. The method of claim 11, wherein the step of combining the first uncertainty measure with the second uncertainty measure comprises multiplying the second uncertainty measure by the first uncertainty measure and dividing a result of the multiplication by a square root of a sum of the second uncertainty measure squared and the first uncertainty measure squared.

13. The method of claim 9, wherein the uncertainty measure for the first estimate accounts for a reduction in reliability of the first estimate due to a time difference between the current time and a time at the end of the time interval.

14. The method of claim 13, wherein the uncertainty measure for the first estimate is adjusted as a function of both the time difference between the current time and the time at the end of the time interval and a maximum observed rate of change of the measurement.

15. The method of claim 14, wherein the uncertainty measure for the first estimate is increased by a result of multiplying the time difference between the current time and the time at the end of the time interval by the maximum observed rate of change of the measurement.

16. The method of claim 13, wherein the first estimate comprises a mean value of the measurement during the time interval.

17. The method of claim 16, wherein the uncertainty measure for the first estimate indicates that the measurement can have any value observed for the measurement during the time interval.

18. A temperature sensor for providing a measurement and an indication about the validity of the measurement, the temperature sensor comprising:

a transducer for generating a data signal related to a temperature, and

a transmitter for receiving said data signal and generating in response thereto said temperature measurement and an uncertainty signal based on a dynamic uncertainty analysis of said temperature measurement, said transmitter being operable to detect a fault in the transducer and, upon detecting said fault, to;

combine multiple estimates of the temperature measurement to produce a combined estimate for the temperature measurement,

combine uncertainty measures for each of the multiple estimates to produce an uncertainty measure for the combined estimate for the temperature measurement,

provide the combined estimate for the temperature measurement as the temperature measurement at a current time, and

provide the uncertainty measure for the combined estimate for the temperature measurement as the uncertainty signal for the temperature measurement at the current time.

19. The temperature sensor of claim 18, wherein the transmitter is operable to detect a loss of contact fault in the transducer by:

storing a data signal produced by the transducer at a first time,

after storing the data signal, connecting the transducer to a voltage source for a predetermined time period,

comparing a data signal produced by the transducer after the predetermined time period to the stored data signal, and

detecting a loss of contact fault based on a result of the comparison.

20. A Coriolis flow meter for providing measurements of mass flow, density and temperature and information about the validity of the measurements, the Coriolis flow meter comprising:

one or more transducers for generating a first data signal related to mass flow, a second data signal related to density, and a third data signal related to temperature, and

a transmitter for receiving said first, second and third data signals and generating in response thereto a mass flow measurement, a first uncertainty signal based on a dynamic uncertainty analysis of said mass flow measurement, a density measurement, a second uncertainty signal based on a dynamic uncertainty analysis of said density measurement, a temperature measurement, and a third uncertainty signal based on a dynamic uncertainty analysis of said temperature measurement, said transmitter being operable to detect a fault in the one or more transducers and, upon detecting said fault, to;

combine multiple estimates of the temperature measurement to produce a combined estimate for the temperature measurement,

combine uncertainty measures for each of the multiple estimates to produce an uncertainty measure for the combined estimate for the temperature measurement,

provide the combined estimate for the temperature measurement as the temperature measurement at a current time, and

provide the uncertainty measure for the combined estimate for the temperature measurement as the third uncertainty signal at the current time.

21. The Coriolis flow meter of claim 20, wherein the transmitter is further operable, upon detecting a fault in the one or more transducers, to:

combine multiple estimates of the mass flow measurement to produce a combined estimate for the mass flow measurement,

combine uncertainty measures for each of the multiple estimates of the mass flow measurement to produce an uncertainty measure for the combined estimate for the mass flow measurement,

provide the combined estimate for the mass flow measurement as the mass flow measurement at a current time,

provide the uncertainty measure for the combined estimate for the mass flow measurement as the first uncertainty signal at the current time,

combine multiple estimates of the density measurement to produce a combined estimate for the density measurement,

combine uncertainty measures for each of the multiple estimates of the density measurement to produce an uncertainty measure for the combined estimate for the density measurement,

provide the combined estimate for the density measurement as the density measurement at a current time, and

provide the uncertainty measure for the combined estimate for the density measurement as the second uncertainty signal at the current time.