Gas turbine

Patent metadata

Field	Value
Publication number	US-11867397-B2
Application number	US-201916409248-A
Country	US
Kind code	B2
Filing date	May 10, 2019
Priority date	May 10, 2019
Publication date	Jan 9, 2024
Grant date	Jan 9, 2024

Abstract

A non-transitory computer readable medium with instructions stored thereon, the instructions executable by one or more processors for selecting infrequent or frequent autotuning of a combustor; and determining the health of a combustor. Also, a method of monitoring a combustor within a gas turbine engine system, comprising providing a gas turbine engine system, wherein the gas turbine engine includes an autotuning system; selecting infrequent or frequent autotuning of the combustor; and determining the health of the combustor; wherein said determining the health of a combustor comprises receiving real-time fuel gas temperature data from at least one thermocouple.

First claim

We claim:

1. A non-transitory computer readable medium with instructions stored thereon, the instructions executable by one or more processors for:
selecting infrequent or frequent autotuning of a combustor having a combustion dynamics monitoring (CDM) algorithm having the capability to detect combustion system fault precursors, wherein the non-transitory computer readable medium is configured to be switchable between infrequent or frequent autotuning of the combustor; and
determining the health of the combustor, wherein said determining the health of the combustor comprises receiving real-time fuel gas temperature data from at least one thermocouple, wherein said determining the health of the combustor comprises comparing the real-time combustor fuel split data and fuel gas temperature data with data in a reference database.

2. The non-transitory computer readable medium of claim 1 , wherein the reference database comprises at least one data set selected from the group consisting of normalized load data, wheelspace temperature data, compressor discharge temperature data, dynamics amplitude data, and dynamics frequency data.

3. The non-transitory computer readable medium of claim 2 , wherein said determining the health of a combustor comprises comparing the real-time combustor fuel split data and fuel gas temperature data with data in a reference database, wherein the reference database comprises normalized load data, wheelspace temperature data, compressor discharge temperature data, dynamics amplitude data, and dynamics frequency data.

4. The non-transitory computer readable medium of claim 1 , wherein infrequent autotuning is selected, wherein said determining the health of a combustor comprises comparing real time combustion dynamics data and fuel split data with a reference database.

5. The non-transitory computer readable medium of claim 4 , wherein the reference database is configured to be updated by real time combustion dynamics data and fuel split data.

6. The non-transitory computer readable medium of claim 1 , wherein frequent autotuning is selected, wherein said determining the health of a combustor comprises comparing real time fuel split data with a fuel split reference database.

7. The non-transitory computer readable medium of claim 6 , wherein said comparing real time fuel split data with a fuel split reference database comprises selecting data for comparison from the fuel split reference database wherein the combustor exhibited at least one data set similar to data selected from the group consisting of normalized load data, wheelspace temperature data, compressor discharge temperature data, dynamics amplitude data, and dynamics frequency data.

8. The non-transitory computer readable medium of claim 1 , wherein said determining the health of a combustor comprises outputting a single number H, wherein H is indicative of the overall health of the combustor.

9. A computer system comprising at least one microprocessor coupled to memory and the non-transitory computer readable medium of claim 1 , wherein the computer system is configured to receive input data from a plurality of thermocouples.

10. A method of monitoring a combustor within a gas turbine engine system, comprising:
providing a gas turbine engine system;
selecting infrequent or frequent autotuning of the combustor having a combustion dynamics monitoring (CDM) algorithm having the capability to detect combustion system fault precursors, wherein the non-transitory computer readable medium is configured to be switchable between infrequent or frequent autotuning of the combustor; and
determining the health of the combustor;
wherein said determining the health of the combustor comprises receiving real-time fuel gas temperature data from at least one thermocouple.

11. The method of claim 10 , wherein said determining the health of a combustor comprises receiving real-time combustor fuel split data.

12. The method of claim 11 , wherein said determining the health of a combustor comprises comparing the real-time combustor fuel split data and fuel gas temperature data with data in a reference database, wherein the reference database comprises at least one data set selected from the group consisting of normalized load data, wheelspace temperature data, compressor discharge temperature data, dynamics amplitude data, and dynamics frequency data.

13. The method of claim 12 , wherein said determining the health of a combustor comprises comparing the real-time combustor fuel split data and fuel gas temperature data with data in a reference database, wherein the reference database comprises normalized load data, wheelspace temperature data, compressor discharge temperature data, dynamics amplitude data, and dynamics frequency data.

14. The method of claim 10 , wherein infrequent autotuning is selected, wherein said determining the health of a combustor comprises comparing real time combustion dynamics data and fuel split data with a reference database.

15. The method of claim 14 , wherein the reference database is configured to be updated by real time combustion dynamics data and fuel split data.

16. The method of claim 14 , wherein frequent autotuning is selected, wherein said determining the health of a combustor comprises comparing real time fuel split data with a fuel split reference database.

17. The method of claim 16 , wherein said comparing real time fuel split data with a fuel split reference database comprises selecting data for comparison from the fuel split reference database wherein the combustor exhibited at least one data set similar to data selected from the group consisting of normalized load data, wheelspace temperature data, compressor discharge temperature data, dynamics amplitude data, and dynamics frequency data.

18. The method of claim 10 , wherein said determining the health of a combustor comprises outputting a single number H, wherein H is indicative of the overall health of the combustor, wherein the non-transitory computer readable medium is configured to be switchable between infrequent or frequent autotuning of a combustor, wherein said determining the health of a combustor comprises receiving real-time fuel gas temperature data from a plurality of thermocouples.

Assignees

• Electric Power Res Institute Inc

Inventors

• Angello Leonard Charles
• Emerson Benjamin
• Lieuwen Timothy Charles
• Noble David Robert
• Kee Jared

Classifications

• F23N5/242 Primary

  using electronic means · CPC title

• F01D21/003

  Arrangements for testing or measuring (for measuring vibrations G01H) · CPC title

• F05D2260/80

  Diagnostics · CPC title

• F05D2270/303

  Temperature · CPC title

• F05D2270/802

  Calibration thereof · CPC title