Multimodal sensing is presented based on the measurement of density oscillations in swirl-stabilized flames, where density is coupled to physical quantities like heat release rate or sound pressure and advection velocity. The measurement approach is a high-speed camera based interferometer combined with a multi-camera background oriented Schlieren system, both enabling line of sight detection and therefore require solution of the inverse problem by tomographic reconstruction. Those reconstructions are realized using a neural network, resulting in the three-dimensional distribution of local thermoacoustic oscillations. Finally, the advection velocity of those oscillating vortex structures is calculated by image correlation.
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