Flame dynamics and combustion oscillation are complex problems in propulsion systems. In
this study, the combustion oscillation characteristics of a supersonic ethylene jet flame in a …

While analytical solutions of critical (phase) transitions in dynamical systems are abundant
for simple nonlinear systems, such analysis remains intractable for real-life dynamical …

A data-driven approach using machine learning is presented for the identification of the
critical flame location for the early detection of an incipient lean blowout (LBO) in a realistic …

Thermoacoustics in modern gas turbines is often accompanied by lean premixed
combustion. A flame transfer function (FTF) is an important quantity for quantifying …

Combustion instabilities are prevalent in a variety of systems including gas turbine engines.
In this regard, the introduction of active control opens the potential for new paradigms in …

Abstract Dynamic Mode Decomposition (DMD) is a data-driven analysis method for plenty of
snapshots, which has good application prospects in the combustion diagnostics base on …

Detecting the transition to an impending instability is important to initiate effective control in a
combustion system. As one of the early applications of characterizing thermoacoustic …

This paper proposes a new computational method for solving the structured least squares
problem that arises in the process of identification of coherent structures in dynamic …

Transitions from stable to unstable states occurring in dynamical systems can be sudden
leading to catastrophic failure and huge revenue loss. For detecting these transitions during …

Data-driven scenarios in analysis and modeling of complex dynamical systems pose
formidable challenges to computational science and motivate development of new …