Machine Learning in Operations for the Mars Express Orbiter-Reference-Cited by-同舟云学术

Machine Learning in Operations for the Mars Express Orbiter

Published:2018-05-25 Issue: Volume: Page:
ISSN:
Container-title:2018 SpaceOps Conference
language:
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Author:

Boumghar Redouane¹,Lucas Luke¹,Donati Alessandro¹

Affiliation:

1. ESA

Publisher

American Institute of Aeronautics and Astronautics

Link

https://arc.aiaa.org/doi/pdf/10.2514/6.2018-2551

Reference9 articles.

1. Machine Learning for Spacecraft Operations Support - The Mars Express Power Challenge

2. Massimo, S., De, Ignacio, M., Silvio, D., and Gerard, C. “Sentinel 3 - Spacecraft Thermal Control: design, analysis and verificationapproach,”45thInternationalConferenceonEnvironmentalSystems,2015.

3. De,G.,Canio,Godard,T.,Boumghar,R.,andWeissmann,U.“OptimizationoftheXMM-Newtonbatteryusageduringeclipses usingamachinelearningapproach,”15thInternationalConferenceonSpaceOperations,SpaceOps,2018.

4. Machine Learning Modeling Methods for Radiation Belts Profile Predictions

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3. Discovering outliers in the Mars Express thermal power consumption patterns;2021 IEEE 8th International Conference on Space Mission Challenges for Information Technology (SMC-IT);2021-07