METHOD AND SYSTEM FOR IMPROVING PARAMETER MEASUREMENT

• US 20170138781A1
• Filed: 11/17/2015
• Published: 05/18/2017
• Est. Priority Date: 11/17/2015
• Status: Abandoned Application

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: Adibhatla, Sridhar
• Application Number:
  US14/943,429
• Publication Number:
  US 20170138781A1
• Time in Patent Office: Days
• CPC Class Codes: F02C 7/232 Fuel valves control of fuel supply by means of fuel metering valves F02C9/263; Draining valves or systems valves in general F16K
• CPC Class Codes: F02C 9/20 by throttling; by adjusting vanes
• CPC Class Codes: F02C 9/263 by means of fuel metering valves
• CPC Class Codes: F02C 9/28 Regulating systems responsive to plant or ambient parameters, e.g. temperature, pressure, rotor speed F02C9/30 - F02C9/38, F02C9/44 take precedence
• CPC Class Codes: F05D 2270/802 Calibration thereof
• CPC Class Codes: G01F 25/10 of flowmeters

Abstract

Parameter measurement systems including improved sensor calibration are provided herein. The measurement system includes a first sensor with a first output signal including a plurality of output characteristics, at least one output characteristic being deficient for measuring a desired parameter and at least one output characteristic being suitable for measuring the desired parameter. The measurement system also includes a second sensor with a second output signal comprising at least some of the plurality of output characteristics, the at least one deficient characteristic of the first output signal being suitable in the second output signal for measuring the desired parameter. The measurement system further includes a processor programmed to calibrate the first output signal using the second output signal to generate a third output signal including the at least one suitable characteristic of the first output signal and the at least one suitable characteristic of the second output signal.

Claims

1. A measurement system comprising:

a first sensor comprising a first output signal comprising a plurality of output characteristics, at least one output characteristic of said plurality of output characteristics being deficient for measuring a desired parameter and at least one output characteristic being suitable for measuring the desired parameter;

a second sensor comprising a second output signal comprising at least some of the plurality of output characteristics of said first output signal, the at least one deficient characteristic of said first output signal being suitable in said second output signal for measuring the desired parameter; and

a processor communicatively coupled to a memory device, said processor programmed to calibrate said first output signal of said first sensor using said second output signal of said second sensor to generate a third output signal comprising the at least one suitable characteristic of said first output signal and the at least one suitable characteristic of said second output signal.

2. The system of claim 1, wherein the desired parameter comprises at least one of a flow, a temperature, and a pressure.

3. The system of claim 1, wherein at least one of said first and said second sensors are embodied in a virtual sensor.

4. The system of claim 1, wherein said plurality of output characteristics includes a sensor bandwidth, a sensor accuracy, a sensor repeatability, a sensor resolution, and a sensor sensitivity.

5. The system of claim 1, wherein said first sensor comprises a fuel meter valve (FMV) sensor and said second sensor comprises a fuel flow meter (FFM) sensor.

6. The system of claim 5, wherein the at least one deficient characteristic of said first output signal of said FMV sensor comprises low sensor accuracy and the at least one suitable characteristic comprises high sensor bandwidth.

7. The system of claim 1, wherein said processor is further programmed to store calibration data representative of the calibration of said first output signal in the memory device.

8. The system of claim 7, wherein said processor is further programmed to use the calibration data to calibrate said first output signal upon loss of said second output signal from said second sensor.

9. A method for improving sensor accuracy comprising:

receiving a first output signal from a first sensor configured to measure a first parameter, the first output signal characterized as having a relatively high accuracy and a relatively low bandwidth;

receiving a second output signal from a second sensor configured to measure the first parameter, the second output signal characterized as having a relatively high bandwidth and a relatively low accuracy;

calibrating the second output signal from the second sensor using the first output signal from the first sensor; and

generating a third output signal using the calibrated second output signal, the third output signal characterized as having a relatively high accuracy and a relatively high bandwidth for the first parameter.

10. The method of claim 9, further comprising generating at least one of the first output signal and the second output signal from a virtual sensor configured to receive one or more signals associated with parameters at measured locations to generate an output signal for an unmeasured location.

11. The method of claim 10, wherein generating at least one of the first output signal and the second output signal from a virtual sensor comprises generating an electronic model of a system that includes at least one of the first sensor and the second sensor and the unmeasured location.

12. The method of claim 9, wherein calibrating the second output signal from a second sensor using the first output signal from the first sensor further comprises generating at least one of a calibration constant and a calibration curve.

13. The method of claim 12, further comprising storing the at least one of a calibration constant and a calibration curve in a memory device.

14. The method of claim 12, further comprising calibrating the second output signal using the at least one of a calibration constant and a calibration curve when the first output signal is unavailable.

15. The method of claim 9, wherein generating at least one of the first output signal and the second output signal from a virtual sensor comprises generating the first output signal from a fuel flow meter (FFM) sensor and the second output signal from a fuel meter valve (FMV) sensor.

16. A turbofan engine comprising:

a core engine including a multistage compressor;

a fan powered by a power turbine driven by gas generated in said core engine;

a fan bypass duct at least partially surrounding said core engine and said fan; and

a flow measurement and control (FMC) system comprising;

a first sensor comprising a first output signal comprising a plurality of output characteristics, at least one output characteristic of said plurality of output characteristics being deficient for measuring a desired parameter and at least one output characteristic being suitable for measuring the desired parameter;

a second sensor comprising a second output signal comprising at least some of said plurality of output characteristics of said first output signal, the at least one deficient characteristic of said first sensor being suitable in said second sensor for measuring the desired parameter; and

a controller configured to control actuation of a fuel meter valve (FMV) to control flow of fuel to said core engine, said controller comprising a processor communicatively coupled to a memory device, said processor programmed to calibrate said first output signal of said first sensor using said second output signal of said second sensor to generate a third output signal comprising the at least one suitable characteristic of said first output signal and the at least one suitable characteristic of said second output signal.

17. The turbofan engine of claim 16, wherein said first sensor comprises an FMV sensor and said second sensor comprises a fuel flow meter (FFM) sensor.

18. The turbofan engine of claim 17, wherein the at least one deficient characteristic of said first output signal of said FMV sensor comprises low sensor accuracy and the at least one suitable characteristic comprises high sensor bandwidth.

19. The turbofan engine of claim 18, wherein said processor is further programmed to store calibration data representative of the calibration of said first output signal in the memory device.

20. The turbofan engine of claim 19, wherein said processor is further programmed to retrieve the calibration data from the memory device upon loss of said second output signal from said FFM sensor to maintain calibration of said first output signal from said FMV sensor.