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Günther Waxenegger-Wilfing
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2020 – today
- 2024
- [c2]Lukas Heppel, Andreas Gerhardus, Ferdinand Rewicki, Jan Christian Deeken, Günther Waxenegger-Wilfing:
Leveraging Causal Information for Multivariate Timeseries Anomaly Detection. DX 2024: 11:1-11:18 - [c1]Andrea Urgolo, Ingo Pill, Günther Waxenegger-Wilfing, Manuel Freiberger:
Property Learning-Based Fault Detection for Liquid Propellant Rocket Engine Control Systems. DX 2024: 15:1-15:20 - [i7]Agni Bandyopadhyay, Günther Waxenegger-Wilfing:
Revisiting Space Mission Planning: A Reinforcement Learning-Guided Approach for Multi-Debris Rendezvous. CoRR abs/2409.16882 (2024) - 2021
- [j1]Günther Waxenegger-Wilfing
, Kai Dresia
A Reinforcement Learning Approach for Transient Control of Liquid Rocket Engines. IEEE Trans. Aerosp. Electron. Syst. 57(5): 2938-2952 (2021) - [i6]Günther Waxenegger-Wilfing, Kai Dresia, Jan Christian Deeken, Michael Oschwald:
Machine Learning Methods for the Design and Operation of Liquid Rocket Engines - Research Activities at the DLR Institute of Space Propulsion. CoRR abs/2102.07109 (2021) - [i5]Ushnish Sengupta, Günther Waxenegger-Wilfing, Jan Martin, Justin Hardi, Matthew P. Juniper:
Forecasting Thermoacoustic Instabilities in Liquid Propellant Rocket Engines Using Multimodal Bayesian Deep Learning. CoRR abs/2107.06396 (2021) - 2020
- [i4]Günther Waxenegger-Wilfing, Kai Dresia
A Reinforcement Learning Approach for Transient Control of Liquid Rocket Engines. CoRR abs/2006.11108 (2020) - [i3]Kai Dresia
Multidisciplinary Design Optimization of Reusable Launch Vehicles for Different Propellants and Objectives. CoRR abs/2009.01664 (2020) - [i2]Günther Waxenegger-Wilfing, Ushnish Sengupta, Jan Martin, Wolfgang Armbruster, Justin Hardi, Matthew P. Juniper, Michael Oschwald:
Early Detection of Thermoacoustic Instabilities in a Cryogenic Rocket Thrust Chamber using Combustion Noise Features and Machine Learning. CoRR abs/2011.14985 (2020)
2010 – 2019
- 2019
- [i1]Günther Waxenegger-Wilfing, Kai Dresia, Jan Christian Deeken, Michael Oschwald:
Heat Transfer Prediction for Methane in Regenerative Cooling Channels with Neural Networks. CoRR abs/1907.11281 (2019)
Coauthor Index
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last updated on 2024-11-27 20:33 CET by the dblp team
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