2 papers
physics.flu-dyn2021
Forecasting Thermoacoustic Instabilities in Liquid Propellant Rocket Engines Using Multimodal Bayesian Deep Learning
Ushnish Sengupta, Günther Waxenegger-Wilfing, Jan Martin +2
The 100 MW cryogenic liquid oxygen/hydrogen multi-injector combustor BKD operated by the DLR Institute of Space Propulsion is a research platform that allows the study of thermoaco…
eess.SP2020
Early Detection of Thermoacoustic Instabilities in a Cryogenic Rocket Thrust Chamber using Combustion Noise Features and Machine Learning
Günther Waxenegger-Wilfing, Ushnish Sengupta, Jan Martin +4
Combustion instabilities are particularly problematic for rocket thrust chambers because of their high energy release rates and their operation close to the structural limits. In t…