Method and apparatus for continuous prediction, monitoring and control of compressor health via detection of precursors to rotating stall and surge

• US 6,532,433 B2
• Filed: 04/17/2001
• Issued: 03/11/2003
• Est. Priority Date: 04/17/2001
• Status: Expired due to Fees

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: Schirle, Steven Mark, Bharadwaj, Sanjay, Prasad, Johnalagadda Venkata Rama, Yeung, Chung-hei Simon, Venkateswaran, Narayanan
• Primary Examiner(s): Barlow, John
• Assistant Examiner(s): LE, JOHN H
• Application Number:
  US09/835,826
• Publication Number:
  US 20020161550A1
• Time in Patent Office: 693 Days
• Field of Search: 702/127, 702/81, 702/182, 700/174-178, 700/301, 701/100, 607/94, 89/410.3, 416/26, 415/57.4, 703/7, 703/8
• US Class Current: 702/182
• CPC Class Codes: F04D 27/001 Testing thereof; Determination or simulation of flow characteristics; Stall or surge detection, e.g. condition monitoring
• CPC Class Codes: F04D 27/02 Surge control surge detection F04D27/001
• CPC Class Codes: F04D 29/661 especially adapted for elastic fluid pumps
• CPC Class Codes: F05B 2220/302 in gas turbines
• CPC Class Codes: F05B 2220/704 the other apparatus being a gas turbine

Abstract

An apparatus for monitoring the health of a compressor having at least one sensor operatively coupled to the compressor for monitoring at least one compressor parameter, a processor system embodying a stall precursor detection algorithm, the processor system operatively coupled to the at least one sensor, the processor system computing stall precursors. A comparator is provided to compare the stall precursors with predetermined baseline data, and a controller operatively coupled to the comparator initiates corrective actions to prevent a compressor surge and stall if the stall precursors deviate from the baseline data, the baseline data representing predetermined level of compressor operability.

Claims

1. A method for pro-actively monitoring and controlling a compressor, comprising:

(a) monitoring at least one compressor parameter;

(b) analyzing the monitored parameter to obtain time-series data;

(c) processing the time-series data using a Kalman filter to determine stall precursors;

(d) comparing the stall precursors with predetermined baseline values to identify compressor degradation;

(e) performing corrective actions to mitigate compressor degradation to maintain a pre-selected level of compressor operability; and

(f) iterating said corrective action performing step until the monitored compressor parameter lies within predetermined threshold.

2. The method of claim 1 wherein step(c) further comprising:

i. processing the time-series data to compute dynamic model parameters; and

ii. combining, in the Kalman filter, the dynamic model parameters and a new measurement of the compressor parameter to produce a filtered estimate.

3. The method of claim 2 further comprising:

iii. computing a standard deviation of difference between the filtered estimate and the new measurement to produce stall precursors.

4. The method of claim 3 wherein said corrective actions are initiated by varying operating line parameters.

5. The method of claim 4 wherein said operating line parameters are set to a near threshold value.

6. The method of claim 3 wherein said corrective actions include reducing the loading on the compressor.

7. An apparatus for monitoring the health of a compressor, comprising:

at least one sensor operatively coupled to the compressor for monitoring at least one compressor parameter;

a processor system, embodying a Kalman filter, operatively coupled to said at least one sensor, said processor system computing stall precursors;

a comparator that compares the stall precursors with predetermined baseline data; and

a controller operatively coupled to the comparator, said controller initiating corrective actions to prevent a compressor surge and stall if the stall precursors deviate from the baseline data, said baseline data representing predetermined level of compressor operability.

8. The apparatus of claim 7 further comprises:

an analog-to-digital (A/D) converter operatively coupled to said at least one sensor for sampling and digitizing input data from said at least one sensor;

a calibration system coupled to said A/D converter, said calibration system performing time-series analysis (t,x) on the monitored parameter to compute dynamic model parameters; and

a look-up-table (LUT) with memory for storing known sets of compressor data including corresponding stall measure data.

9. The apparatus of claim 7 wherein the corrective actions are initiated by varying operating limit line parameters.

10. The apparatus of claim 9 wherein said operating limit line parameters are set to a near threshold value.

11. In a gas turbine of the type having a compressor, a combustor, a method for monitoring the health of a compressor comprising:

(a) monitoring at least one compressor parameter;

(b) analyzing the monitored parameter to obtain time-series data;

(c) processing the time-series data using a Kalman filter to determine stall precursors;

(d) comparing the stall precursors with predetermined baseline values to identify compressor degradation;

(e) performing corrective actions to mitigate compressor degradation to maintain a pre-selected level of compressor operability; and

(f) iterating said corrective action performing step until the monitored compressor parameter lies within predetermined threshold.

12. The method of claim 11 wherein step(c) further comprising:

i. processing the time-series data to compute dynamic model parameters; and

ii. combining, in the Kalman filter, the dynamic model parameters and a new measurement of the compressor parameter to produce a filtered estimate.

13. The method of claim 12 further comprising:

iii. computing a standard deviation of difference between the filtered estimate and the new measurement to produce stall precursors.

14. The method of claim 11 wherein the corrective actions are initiated by varying operating line parameters.

15. The method of claim 14 wherein the corrective actions further include varying the loading on the compressor.

16. The method of claim 14, wherein said operating line parameters are set to a near threshold value.

17. An apparatus for monitoring and controlling the health of a compressor, comprising:

means for measuring at least one compressor parameter;

means for computing stall measures;

means for comparing the stall measures with predetermined baseline values; and

means for initiating corrective actions if the stall measures deviate from said baseline values.

18. The apparatus of claim 17 wherein said means for computing stall measures embodies a Kalman filter.

19. The apparatus of claim 17 wherein the corrective actions are initiated by varying operating limit line parameters.

20. The apparatus of claim 19 wherein said operating limit line parameters are set to a near threshold value.

21. A method for monitoring and controlling the health of a compressor, comprising:

providing a means for monitoring at least one compressor parameter;

providing a means for computing stall measures;

providing a means for comparing the stall measures with predetermined baseline values; and

providing a means for initiating corrective actions if the stall measures deviate from said baseline values.

22. A method of detecting precursors to rotating stall and surge in a compressor, the method comprising measuring the pressure and velocity of gases flowing through the compressor and using a Kalman filter in combination with offline calibration computations to predict future precursors to rotating stall and surge, wherein the Kalman filter utilizes:

a definition of errors and their stochastic behavior in time;

the relationship between the errors and the measured pressure and velocity values; and

how the errors influence the prediction of precursors to rotating stall and surge.

23. An apparatus for monitoring the health of a compressor, comprising:

at least one sensor operatively coupled to the compressor for monitoring at least one compressor parameter;

a processor system, embodying a stall precursor detection algorithm, operatively coupled to said at least one sensor, said processor system computing stall precursors;

a comparator that compares the stall precursors with predetermined baseline data; and

a controller operatively coupled to the comparator, said controller initiating corrective actions to prevent a compressor surge and stall if the stall precursors deviate from the baseline data, said baseline data representing predetermined level of compressor operability.

24. The apparatus of claim 23 wherein said stall precursor detection algorithm is a Kalman filter.