Prediction of thermoacoustic instabilities in a premixed combustor based on FFT-based dynamic characterization

The classification of a combustion process into stable and unstable regimes is essential for the design of combustor systems, which include their monitoring and control mechanisms; an unsupervised method for monitoring of combustion instabilities is essential from these perspectives. The traditional methods of combustion stability assessment are often computationally intensive and thus may not be suitable for real-time monitoring and control. This paper proposes a fast Fourier transform (FFT)-based method for dynamic characterization of combustion instabilities. The proposed method has been tested on experimental data of pressure time-series from a lean-premixed swirl-stabilized combustor, and the results have been compared with the well-known method of visibility graph.