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

Chaos (Woodbury, N.Y.)

Waxenegger-Wilfing G, Sengupta U, Martin J, Armbruster W, Hardi J, Juniper M, Oschwald M.
PMID: 34241297
Chaos. 2021 Jun;31(6):063128. doi: 10.1063/5.0038817.

We present a data-driven method for the early detection of thermoacoustic instabilities. Recurrence quantification analysis is used to calculate characteristic combustion features from short-length time series of dynamic pressure sensor data. Features like recurrence rate are used to train...

Cite
Waxenegger-Wilfing G, Sengupta U, Martin J, et al. Early detection of thermoacoustic instabilities in a cryogenic rocket thrust chamber using combustion noise features and machine learning. Chaos. 2021;31(6):063128doi: 10.1063/5.0038817.
Waxenegger-Wilfing, G., Sengupta, U., Martin, J., Armbruster, W., Hardi, J., Juniper, M., & Oschwald, M. (2021). Early detection of thermoacoustic instabilities in a cryogenic rocket thrust chamber using combustion noise features and machine learning. Chaos (Woodbury, N.Y.), 31(6), 063128. https://doi.org/10.1063/5.0038817
Waxenegger-Wilfing, Günther, et al. "Early detection of thermoacoustic instabilities in a cryogenic rocket thrust chamber using combustion noise features and machine learning." Chaos (Woodbury, N.Y.) vol. 31,6 (2021): 063128. doi: https://doi.org/10.1063/5.0038817
Waxenegger-Wilfing G, Sengupta U, Martin J, Armbruster W, Hardi J, Juniper M, Oschwald M. Early detection of thermoacoustic instabilities in a cryogenic rocket thrust chamber using combustion noise features and machine learning. Chaos. 2021 Jun;31(6):063128. doi: 10.1063/5.0038817. PMID: 34241297.
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Academic Self-Concept: Modeling and Measuring for Science.

Research in Science Education

Hardy.
UIID-EM: 140
2014;44:549-579. doi: 10.1007/s11165-013-9393-7.

No abstract available.

Cite
Hardy. Academic Self-Concept: Modeling and Measuring for Science. 2014;44:549-579doi: 10.1007/s11165-013-9393-7.
Hardy. (2014). Academic Self-Concept: Modeling and Measuring for Science. Research in Science Education, 44549-579. https://doi.org/10.1007/s11165-013-9393-7
Hardy, G. "Academic Self-Concept: Modeling and Measuring for Science." Research in Science Education vol. 44 (2014): 549-579. doi: https://doi.org/10.1007/s11165-013-9393-7
Hardy. Academic Self-Concept: Modeling and Measuring for Science. 2014;44:549-579. doi: 10.1007/s11165-013-9393-7. UIID-EM: 140.
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Showing 925 to 926 of 926 entries