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Reducing Uncertainty in the Onset of Combustion Instabilities Using Dynamic Pressure Information and Bayesian Neural Networks
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Modern low-emission combustion systems with improved fuel-air mixing are more prone to combustion instabilities and, therefore, use advanced control methods to balance minimum NOx emissions and the presence of thermoacoustic ...
Bayesian Machine Learning for the Prognosis of Combustion Instabilities From Noise
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Experiments are performed on a turbulent swirling flame placed inside a vertical tube whose fundamental acoustic mode becomes unstable at higher powers and equivalence ratios. The power, equivalence ratio, fuel composition, ...