Early detection of thermoacoustic instabilities in a cryogenic rocket thrust chamber using combustion noise features and machine learning-Reference-Cited by-同舟云学术

Early detection of thermoacoustic instabilities in a cryogenic rocket thrust chamber using combustion noise features and machine learning

Published:2021-06 Issue:6 Volume:31 Page:063128
ISSN:1054-1500
Container-title:Chaos: An Interdisciplinary Journal of Nonlinear Science
language:en
Short-container-title:Chaos

Author:

Waxenegger-Wilfing Günther¹^ORCID,Sengupta Ushnish²^ORCID,Martin Jan¹^ORCID,Armbruster Wolfgang¹^ORCID,Hardi Justin¹^ORCID,Juniper Matthew²^ORCID,Oschwald Michael¹^ORCID

Affiliation:

1. Institute of Space Propulsion, German Aerospace Center (DLR), 74239 Hardthausen, Germany

2. Department of Engineering, University of Cambridge, Cambridge, Cambridgeshire CB2 1PZ, United Kingdom

Publisher

AIP Publishing

Subject

Applied Mathematics,General Physics and Astronomy,Mathematical Physics,Statistical and Nonlinear Physics

Link

https://aip.scitation.org/doi/pdf/10.1063/5.0038817

Reference43 articles.

1. Rocket Propulsion

2. THE EXPLANATION OF CERTAIN ACOUSTICAL PHENOMENA 1

3. Linear stability assessment of a cryogenic rocket engine

4. Sensitivity and Nonlinearity of Thermoacoustic Oscillations

5. Online Combustor Stability Margin Assessment Using Dynamic Pressure Data

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