Patent ID: 9568378
Date: 2017-02-14
CPC Classifications: F23N,F23R,G01K,G01M

Claim:
1. A method for detecting and classifying combustion anomalies in a combustor of a gas turbine engine, comprising: placing in a gas turbine combustor at least two thermoacoustic sensors capable of generating respective sensor output signals indicative of combustion thermoacoustic oscillations in the combustor and coupling the sensors to a controller that is capable of correlating sensor output signals with combustion conditions; generating dynamic sensor output signals with the thermoacoustic sensors; performing a wavelet or Fourier spectral analysis of the dynamic sensor output signals with the controller, to determine whether a combustion anomaly has occurred; monitoring temperature within the combustor with the thermoacoustic sensors by performing one or both of: bulk temperature frequency analysis of the dynamic sensor output signals; or active path temperature monitoring of the dynamic sensor output signals by acoustic pyrometry; and classifying the anomaly with the controller based on the wavelet or the Fourier spectral analysis and the monitored temperature.