System and apparatus for gas turbine engine lean blowout avoidance

• US 7,743,599 B2
• Filed: 07/17/2007
• Issued: 06/29/2010
• Est. Priority Date: 08/31/2004
• Status: Active Grant

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: Wu, Pingchuan, Singh, Ajai, Taware, Avinash Vipayak, Ziminsky, Willy Steve, Shah, Minesh Ashok
• Primary Examiner(s): Cuff; Michael
• Assistant Examiner(s): NGUYEN, ANDREW H
• Application Number:
  US11/779,127
• Publication Number:
  US 20080010966A1
• Time in Patent Office: 1,078 Days
• Field of Search: 60/390.91, 60/392.7, 60/392.81, 608/03
• US Class Current: 60/39.091
• CPC Class Codes: F05D 2260/80 Diagnostics
• CPC Class Codes: F05D 2270/083 by monitoring combustion conditions
• CPC Class Codes: F05D 2270/092 in particular blow-out and relight
• CPC Class Codes: F05D 2270/3015 differential pressure
• CPC Class Codes: F23N 2241/20 Gas turbines
• CPC Class Codes: F23N 5/003 using detectors sensitive to combustion gas properties F23N5/02, F23N5/18 - F23N5/26 take precedence
• CPC Class Codes: F23N 5/16 using noise-sensitive detectors
• CPC Class Codes: Y02T 50/60 Efficient propulsion technologies, e.g. for aircraft

Abstract

A method of monitoring and controlling the combustion dynamics of a gas turbine engine system is provided. The system includes at least one gas turbine that includes at least one combustor can. The method includes receiving a signal from a gas turbine engine sensor that is indicative of combustion dynamics in at least one of the combustor cans, processing the received signal to determine a probability of lean blowout for at least one combustor can, and controlling the gas turbine engine system to facilitate reducing a probability of a lean blowout (LBO) event using the determined probability of lean blowout.

Claims

1. A gas turbine system comprising:

a gas turbine engine comprising at least one combustor can;

at least one of a combustor dynamic pressure sensor and flame sensor coupled to at least one of said combustor cans, said sensor configured to monitor combustion in each said respective can and transmit a signal indicative of combustion in each said respective can; and

at least one control system configured to receive the signal from said at least one sensor, said control system programmed to;

filter the combustion signal to determine the presence of a LBO precursor;

determine a probability of lean blowout (LBO) from the filtered signal;

compare the filtered signal to a predetermined LBO threshold; and

control said gas turbine system to facilitate reducing the probability of lean blowout (LBO).

2. A gas turbine system in accordance with claim 1 wherein said control system is further configured to:

filter the received signal to only pass a portion of the signal that is between approximately ten Hz and approximately twenty Hz; and

compute a root mean square (RMS) of the filtered signal.

3. A gas turbine system in accordance with claim 1 wherein said control system further comprises a plurality of bandpass filters configured to pass a portion of the received signal that is between at least one of approximately ten Hz to approximately twenty five Hz, approximately eighty Hz to approximately one hundred and twenty Hz, and approximately one hundred thirty Hz to approximately one hundred sixty Hz.

4. A gas turbine system in accordance with claim 1 wherein said control system is further configured to monitor a frequency shift of a portion of the received signal that is between approximately one hundred thirty Hz to approximately one hundred sixty Hz.

5. A gas turbine system in accordance with claim 1 wherein said control system is further configured to at least one of:

change a bulk fuel flow rate to the engine;

change a air flow rate to at least one combustor can;

change an inlet air temperature of at least one combustor can; and

modify a fuel split to a respective at least one combustor can, to facilitate reducing the probability of lean blowout (LBO).

6. A gas turbine system in accordance with claim 1 wherein said control system further comprises a plurality of bandpass filters configured to pass a portion of the signal that corresponds to a fuel/air ratio that is greater than a fuel/air ratio during normal engine operation.

7. A gas turbine system in accordance with claim 2 wherein said control system is further configured to compute a root mean square (RMS) of the filtered signal based on at least one of an N point sliding window algorithm, wherein N represents the number of data points used by the algorithm, and a moving average window low-pass filter to the RMS signal.

8. A gas turbine system in accordance with claim 2 wherein said control system is further configured to determine a probability of lean blowout (LBO) from the filtered signal based on at least one of applying a cumulative probability function of a normal distribution to the filtered RMS signal, wherein a mean and a variance of the normal distribution are selectable to achieve a predetermined probability of LBO for each amplitude, and applying a wavelet transform to the filtered RMS signal in a predetermined frequency range.

9. A gas turbine system in accordance with claim 2 wherein said control system is further configured to determine a probability of lean blowout (LBO) from the filtered signal based on a relative change in amplitude between a plurality of tones of the combustion dynamics.

10. A gas turbine system in accordance with claim 9 wherein the relative change in amplitude between a plurality of tones includes at least one of:

a relative change in amplitude between a lean blowout tone and at least one combustion tone;

a relative change in amplitude between a lean blowout tone and at least one of a low F/A tone and a high F/A tone of the combustion dynamics; and

a relative change in RMS amplitude between a lean blowout tone, a low F/A tone, and a high F/A tone of the combustion dynamics.

11. A gas turbine system in accordance with claim 10 wherein the relative change in RMS amplitude between a lean blowout tone, a low F/A tone, and a high F/A tone of the combustion dynamics is determined using:

$\mathrm{\alpha <br><br>}=\frac{{\mathrm{RMS}}_{\mathrm{LBO}}+{\mathrm{RMS}}_{\mathrm{LowF}/A}}{{\mathrm{RMS}}_{\mathrm{HighF}/A}},\mathrm{wherein}$

α

represents the relative change between a lean blowout tone, a low F/A tone, and a high F/A tone;

RMS_LBO represents the RMS amplitude of the LBO tone;

RMS_{Low F/A} represents the RMS amplitude of the low F/A tone; and

RMS_{HIGH F/A} represents the RMS amplitude of the high F/A tone.

12. A gas turbine system in accordance with claim 1 wherein said control system is further configured to determine a probability of lean blowout (LBO) from the filtered signal based on a frequency shift of at least one of a high F/A tone and a low F/A tone.

13. A gas turbine system in accordance with claim 12 wherein the frequency shift of at least one of a high F/A tone and a low F/A tone is determined using:

$\mathrm{\beta <br><br>}=\frac{f_U-f_C}{f_C-f_L},\mathrm{wherein}$

f_u represents an upper bound of the high F/A tone frequency,

f_L represents a lower bound of the high F/A tone frequency, and

f_c represents an instantaneous center frequency of the high F/A tone.

14. A gas turbine system in accordance with claim 1 wherein said control system is further configured to determine a probability of lean blowout (LBO) from the filtered signal based on:

a combination of a probability of LBO with at least one of a relative change in amplitude between a plurality of tones of the combustion dynamics and a frequency shift of a high F/A tone of the combustion dynamics; and

a normalization of the combination using a sigmoid function.

15. A gas turbine system in accordance with claim 14 wherein said control system is further configured to determine a probability of lean blowout (LBO) from the filtered signal based on a determination of a maximum instantaneous probability of LBO for each of the at least one combustor cans from each normalized combination.

16. A gas turbine system in accordance with claim 2 wherein said control system is further configured to determine a probability of lean blowout (LBO) from the filtered signal based on the application of a cumulative probability function of a normal distribution to the filtered RMS signal wherein a mean and a variance of the normal distribution are selectable to achieve a predetermined probability of LBO for each amplitude.