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Machine Learning Methods for the Design and Operation of Liquid Rocket
  Engines -- Research Activities at the DLR Institute of Space Propulsion

Machine Learning Methods for the Design and Operation of Liquid Rocket Engines -- Research Activities at the DLR Institute of Space Propulsion

14 February 2021
Günther Waxenegger-Wilfing
Kai Dresia
J. Deeken
M. Oschwald
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Machine Learning Methods for the Design and Operation of Liquid Rocket Engines -- Research Activities at the DLR Institute of Space Propulsion"

1 / 1 papers shown
Title
Early Detection of Thermoacoustic Instabilities in a Cryogenic Rocket
  Thrust Chamber using Combustion Noise Features and Machine Learning
Early Detection of Thermoacoustic Instabilities in a Cryogenic Rocket Thrust Chamber using Combustion Noise Features and Machine Learning
Günther Waxenegger-Wilfing
Ushnish Sengupta
Jan M. Martin
W. Armbruster
J. Hardi
M. Juniper
M. Oschwald
AI4CE
66
35
0
25 Nov 2020
1