Claims
- 1. A pressure transmitter adapted to couple to a process fluid to sense pressure, the pressure transmitter comprising:
a pressure sensor adapted to measure pressure of the process fluid; an analog to digital converter coupled to the pressure sensor and configured to generate a series of digital representations of pressure of the process fluid; a microprocessor system configured to receive the series of digital representations of pressure and having: a first algorithm stored therein calculating a difference between the series of digital representations and a moving average of the series of digital representations, and having a second algorithm stored therein receiving the difference and calculating a trained data set of historical data during a training mode and calculating a current data set during a monitoring mode and generating diagnostic data as a function of the current data set relative to the historical data, the diagnostic data indicative of a condition of a primary element and/or an impulse line; and an output configured to provide an output related to pressure of the process fluid.
- 2. The pressure transmitter of claim 1 wherein the microprocessor system stores the trained data set.
- 3. The pressure transmitter of claim 1 wherein the moving average is calculated according to the series
- 4. The pressure transmitter of claim 1 wherein the trained data set comprises statistical data.
- 5. The pressure transmitter of claim 1 wherein the microprocessor system switches from the training mode to the monitoring mode.
- 6. The pressure transmitter of claim 5 wherein the microprocessor system stores the trained data set in the training mode.
- 7. The pressure transmitter of claim 1 wherein the diagnostic data indicates a condition of a pressure generator.
- 8. The pressure transmitter of claim 1 wherein the diagnostic data indicates a condition of a primary flow element.
- 9. The pressure transmitter of claim 1 wherein the output comprises a calibrated output which is adjusted based upon the diagnostic data.
- 10. The pressure transmitter of claim 1 wherein the trained data set of historical data is related to power spectral density of the difference.
- 11. The pressure transmitter of claim 10 wherein the power spectral density data is in the range of 0 to 100 Hertz.
- 12. The pressure transmitter of claim 1 wherein the diagnostic circuit implements a diagnostic algorithm selected from the group of algorithms consisting of neural networks, fuzzy logic, wavelets and Fourier transforms.
- 13. The pressure transmitter of claim 1 wherein the pressure sensor comprises a differential pressure sensor.
- 14. The pressure transmitter of claim 1 wherein the pressure sensor comprises an absolute pressure sensor.
- 15. The pressure transmitter of claim 1 wherein the pressure sensor comprises a gauge pressure sensor.
- 16. The pressure transmitter of claim 1 wherein the diagnostic data provides a predictive indication of a future occurrence of a diagnostic condition.
- 17. The pressure transmitter of claim 1 wherein the current data set and historical data comprise time domain data.
- 18. The pressure transmitter of claim 1 wherein the current data set and historical data comprise frequency domain data.
- 19. A pressure transmitter adapted to couple to a process via an impulse line to sense a pressure of process fluid, the pressure transmitter comprising:
a pressure sensor adapted to couple to the impulse line; a measurement circuit coupled to the sensor and generating an output related to sensed pressure; a difference circuit coupled to the sensor and configured to generate a difference output representing the sensed pressure minus a moving average; a calculate circuit receiving the difference output, configured to calculate a trained output of historical data obtained during training, and to calculate a monitor output of current data obtained during monitoring; and a diagnostic circuit configured to receive the trained output and the monitor output and generate a diagnostic output indicating a current condition of the impulse line.
- 20. The pressure transmitter of claim 19 wherein the pressure sensor include a remote seal.
- 21. The pressure transmitter of claim 20 wherein the sensed pressure output is a indicative of a quantity of fluid in a tank.
- 22. The pressure transmitter of claim 21 further including a wet leg.
- 23. The pressure transmitter of claim 21 further including a dry leg.
- 24. The pressure transmitter of claim 19 wherein the calculate circuit stores the historical data.
- 25. The pressure transmitter of claim 19 wherein the moving average is calculated according to the series
- 26. The pressure transmitter of claim 19 wherein the historical data comprises statistical data.
- 27. The pressure transmitter of claim 19 wherein the output relate to sensed pressure comprises a calibrated output and which is adjusted based upon the diagnostic output.
- 28. The pressure transmitter of claim 19 wherein the historical data comprises power spectral density of the difference output.
- 29. The pressure transmitter of claim 28 wherein the power spectral density data is in the range of 0 to 100 Hertz.
- 30. The pressure transmitter of claim 19 wherein the diagnostic circuit implements a diagnostic algorithm selected from the group of algorithms consisting of neural networks, fuzzy logic, wavelets and Fourier transforms.
- 31. The pressure transmitter of claim 19 wherein the pressure sensor comprises a differential pressure sensor.
- 32. The pressure transmitter of claim 19 wherein the pressure sensor comprises an absolute pressure sensor.
- 33. A transmitter adapted to measure process flow, comprising,
a pressure sensor adapted to sense pressure of a process fluid; a difference circuit coupled to the sensor and configured to generate a difference output representing the sensed pressure minus a moving average; a calculate circuit configured to receive the difference output and calculate a trained output of historical data obtained during training and to calculate a monitor output of current data obtained during monitoring; and a diagnostic circuit configured to receive the trained output and the monitor output and to generate a diagnostic output indicative of a condition of a primary element and/or an impulse line of the transmitter.
- 34. The fluid flow meter of claim 33 wherein the historical data comprises power spectral density of the difference output.
- 35. The pressure transmitter of claim 33 wherein the pressure sensor comprises a differential pressure sensor.
- 36. The pressure transmitter of claim 33 wherein the pressure sensor comprises an absolute pressure sensor.
- 37. The pressure transmitter of claim 33 wherein the diagnostic output provides a predictive indication of a future occurrence of a diagnostic condition.
- 38. The pressure transmitter of claim 33 wherein the current data and historical data comprise time domain data.
- 39. The pressure transmitter of claim 33 wherein the current data and historical data comprise frequency domain data.
- 40. The flowmeter of claim 33 wherein the diagnostic current implements a diagnostic algorithm selected from the group of algorithms consisting of neural networks, fuzzy logic, wavelets and Fourier transforms.
- 41. A diagnostic method for diagnosing a pressure transmitter coupled to a process fluid, the method comprising:
calculating a difference between a pressure sensed by the pressure transmitter and a moving average of the sensed pressure; acquiring and storing an historical data set of the calculated difference during a train mode of the pressure transmitter; acquiring and storing a current data set of the calculated difference during a monitoring mode of the pressure transmitter; and comparing the current data set to the historical data set to diagnose the condition of a primary element and/or an impulse line of the pressure transmitter.
- 42. The method of diagnosis of claim 41 wherein the historical data set comprises statistical data on the calculated difference.
- 43. The method of diagnosis of claim 42 wherein the current data set comprises current data on the sample average (X) and sample deviation (s) of the calculated difference.
- 44. The method of diagnosis of claim 43 wherein the sample average (X) is compared to the mean (μ) to diagnose erosion of the primary element.
- 45. The method of diagnosis of claim 44 wherein the sample deviation (s) is compared to the standard deviation (σ) to diagnose impulse line plugging.
- 46. The method of diagnosis of claim 41 wherein the historical data set comprises data on the power spectral density of the calculated difference.
- 47. The method of diagnosis of claim 46 wherein the current data set comprises power spectral density of the calculated difference.
- 48. The method of diagnosis of claim 41 wherein the comparing includes performing a diagnostic algorithm selected from the group of algorithms consisting of neural networks, fuzzy logic, wavelets and Fourier transforms.
- 49. A transmitter configured to perform the method of claim 41.
- 50. Control room equipment configured to perform the method of claim 41.
- 51. The method of claim 41 wherein the pressure comprises a differential pressure.
- 52. The method of claim 41 wherein the pressure comprises an absolute pressure sensor.
- 53. The method of claim 41 wherein the diagnostic output provides a predictive indication of a future occurrence of plugging of the impulse line.
- 54. The method of claim 41 wherein the current data set and historical data comprise time domain data.
- 55. The method of claim 41 wherein the current data set and historical data comprise frequency domain data.
- 56. A computer-readable medium having stored thereon instructions executable by a microprocessor system to cause the microprocessor system to perform a diagnostic operation on a pressure transmitter coupled to a process fluid, the instructions comprising:
calculating a difference between a pressure sensed by the pressure transmitter and a moving average of the sensed pressure; acquiring and storing an historical data set of the calculated difference during a train mode of the pressure transmitter; acquiring and storing a current data set of the calculated difference during a monitoring mode of the pressure transmitter; and comparing the current data set to the historical data set to diagnose the condition of a primary element and/or an impulse line of the pressure transmitter.
- 57. A pressure transmitter adapted to couple to a process fluid to sense process pressure, the pressure transmitter comprising:
a pressure sensor for sensing process pressure; differencing means for generating a difference output representing the sensed pressure minus a moving average; calculating means for receiving the difference output for calculating a trained output of historical data obtained during training and for calculating a monitor output of current data obtained during monitoring; and diagnosing means for receiving the trained output and the monitor output, generating a diagnostic output and diagnosing a current condition of a primary element and/or an impulse line of the pressure transmitter.
- 58. A pressure transmitter for coupling to a process control loop and providing an output related to a pressure of process fluid, comprising:
a pressure sensor adapted to measure a pressure of the process fluid and responsively provide a sensor output; impulse piping configured to couple the pressure sensor to the process fluid; computation circuitry adapted to calculate a statistical parameter of the pressure sensor output; memory adapted to contain a baseline statistical parameter of the pressure sensor output; diagnostic circuitry configured to compare the stored baseline statistical parameter of the pressure sensor output to a current statistical parameter and responsively provide a diagnostic output based upon the comparison, the diagnostic output indicative of a condition of a primary element and/or an impulse line of the pressure transmitter output circuitry to provide an output related to the sensed pressure.
- 59. The transmitter of claim 58 wherein the statistical parameter comprises standard deviation.
- 60. The transmitter of claim 58 wherein the diagnostic circuitry comprises fuzzy logic which employs a membership function.
- 61. The transmitter of claim 59 including a fuzzy membership function stored in the memory and wherein diagnostic circuitry applies the membership function to the statistical parameter.
- 62. The transmitter of claim 58 wherein the pressure sensor comprises a differential pressure sensor.
- 63. The transmitter of claim 58 wherein the statistical parameter comprises power spectral density.
- 64. The transmitter of claim 58 wherein the baseline impulse piping is related to substantially new impulse piping.
- 65. The transmitter of claim 58 wherein the diagnostic circuit implements a diagnostic algorithm selected from the group of algorithms consisting of neural networks, fuzzy logic, wavelets and Fourier transforms.
- 66. The pressure transmitter of claim 58 wherein the pressure sensor comprises a differential pressure sensor.
- 67. The pressure transmitter of claim 58 wherein the pressure sensor comprises an absolute pressure sensor.
- 68. The pressure transmitter of claim 58 wherein the pressure sensor comprises a gauge pressure sensor.
- 69. The pressure transmitter of claim 58 wherein the diagnostic output provides a predictive indication of a future occurrence of plugging of the impulse line.
- 70. The pressure transmitter of claim 58 wherein the baseline and historic statistical parameter comprise time domain data.
- 71. The pressure transmitter of claim 58 wherein the baseline and historic statistical parameter comprise frequency domain data.
- 72. A method for detecting a degrading of impulse piping used to couple a pressure transmitter to a process fluid in a process control system, comprising:
obtaining a pressure measurement signal related to pressure of a process fluid; retrieving a baseline statistical parameter from a memory; calculating a current statistical parameter of the pressure measurement signal; comparing the baseline statistical parameter to the current statistical parameter; and providing a diagnostic output based upon the step of comparing, the diagnostic output indicative of a condition of a primary element and/or an impulse line of the pressure transmitter.
- 73. The method of claim 72 wherein comparing includes performing a fuzzy logic operation.
- 74. The method of claim 72 wherein calculating includes calculating standard deviation.
- 75. The method of claim 72 wherein the pressure sensor comprises a differential pressure sensor.
- 76. The method of claim 72 wherein the baseline is related to new impulse piping.
- 77. The method of claim 72 wherein the comparing implements an algorithm selected from the group of algorithms consisting of neural networks, fuzzy logic, wavelets and Fourier transforms.
- 78. The method of claim 72 wherein the pressure measurement comprises a differential pressure sensor.
- 79. The method of claim 72 wherein the pressure measurement comprises an absolute pressure sensor.
- 80. The method of claim 72 wherein the diagnostic output provides a predictive indication of a future occurrence of plugging of the impulse line.
- 81. The method of claim 72 wherein the baseline and current statistical parameter comprise time domain data.
- 82. The method of claim 72 wherein the baseline and current statistical parameter comprise frequency domain data.
Parent Case Info
[0001] This is a Continuation-In-Part of U.S. application Ser. No. 09/852,102, filed May 9, 2001, which is a Continuation-In-Part of U.S. application Ser. No. 09/257,896, filed Feb. 25, 1999, which is a Continuation-In-Part of U.S. application Ser. No. 08/623,569, now U.S. Pat. No. 6,017,143, application Ser. No. 09/852,102 is also a Continuation-In-Part of U.S. application Ser. No. 09/383,828, now U.S. Pat. No. 6,654,697, which is a Continuation-In-Part of U.S. application Ser. No. 09/257,896, filed Feb. 25, 1999 which is a Continuation-In-Part of U.S. application Ser. No. 08/623,569, filed Mar. 28, 1996, now U.S. Pat. No. 6,017,143.
Continuation in Parts (6)
|
Number |
Date |
Country |
Parent |
09852102 |
May 2001 |
US |
Child |
10801073 |
Mar 2004 |
US |
Parent |
09257896 |
Feb 1999 |
US |
Child |
09852102 |
May 2001 |
US |
Parent |
08623569 |
Mar 1996 |
US |
Child |
09257896 |
Feb 1999 |
US |
Parent |
09383828 |
Aug 1999 |
US |
Child |
09852102 |
|
US |
Parent |
09257896 |
Feb 1999 |
US |
Child |
09383828 |
Aug 1999 |
US |
Parent |
08623569 |
Mar 1996 |
US |
Child |
09257896 |
Feb 1999 |
US |