Real-time thermoacoustic data assimilation

@article{Nvoa2022RealtimeTD,
  title={Real-time thermoacoustic data assimilation},
  author={A. N{\'o}voa and Luca Magri},
  journal={Journal of Fluid Mechanics},
  year={2022},
  volume={948}
}
Abstract Low-order thermoacoustic models are qualitatively correct, but typically, they are quantitatively inaccurate. We propose a time-domain bias-aware method to make qualitatively low-order models quantitatively (more) accurate. First, we develop a Bayesian ensemble data assimilation method for a low-order model to self-adapt and self-correct any time that reference data become available. Second, we apply the methodology to infer the thermoacoustic states and heat-release parameters on the… 

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