US 11,713,725 B2
Lean blowout precursor detection for gas turbines
Leonard Charles Angello, Mountain View, CA (US); David Robert Noble, Catawba, NC (US); Andrew Mueller, Bakersfield, CA (US); John Alexander Miltner, Smyrna, GA (US); Benjamin Emerson, Peachtree City, GA (US); Scott Sheppard, Mountain View, CA (US); Jared Kee, Marietta, GA (US); and Timothy Charles Lieuwen, Atlanta, GA (US)
Assigned to Electric Power Research Institute, Inc., Palo Alto, CA (US)
Filed by Electric Power Research Institute, Inc., Palo Alto, CA (US)
Filed on May 28, 2020, as Appl. No. 16/885,541.
Prior Publication US 2021/0372330 A1, Dec. 2, 2021
Int. Cl. F02C 9/50 (2006.01); G01D 3/08 (2006.01); G01H 3/12 (2006.01); G01D 21/02 (2006.01); G01H 1/12 (2006.01); F23N 5/16 (2006.01); F23N 5/24 (2006.01); G05D 11/02 (2006.01); G01H 9/00 (2006.01)
CPC F02C 9/50 (2013.01) [G01D 3/08 (2013.01); G01D 21/02 (2013.01); G01H 1/12 (2013.01); G01H 3/12 (2013.01); F05D 2220/32 (2013.01); F05D 2240/35 (2013.01); F05D 2260/80 (2013.01); F05D 2260/821 (2013.01); F05D 2270/092 (2013.01); F05D 2270/333 (2013.01); F05D 2270/44 (2013.01); F05D 2270/71 (2013.01); F05D 2270/80 (2013.01); F05D 2270/81 (2013.01); F23N 5/16 (2013.01); F23N 5/242 (2013.01); G01H 9/002 (2013.01); G05D 11/02 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A method for detecting blowout precursors in at least one gas turbine combustor, comprising receiving combustion dynamics acoustic data measured by an acoustic measuring device associated with the combustor in real time; performing wavelet analysis on the acoustic data using a simplified Mexican Hat wavelet transform analysis; and determining the existence of a blowout precursor based at least in part on the wavelet analysis, wherein said determining the existence of a blowout precursor comprises determining an increase in amplitude of time dependent spectral content in at least one predefined band of high frequency dynamics.