Reference : Autonomous Trustworthy Monitoring and Diagnosis of CubeSat Health (AtMonSat)
Reports : External report
Engineering, computing & technology : Aerospace & aeronautics engineering
Engineering, computing & technology : Computer science
Computational Sciences
http://hdl.handle.net/10993/55702
Autonomous Trustworthy Monitoring and Diagnosis of CubeSat Health (AtMonSat)
English
Horne, Ross James mailto [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS) >]
Mauw, Sjouke mailto [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS) >]
Mizera, Andrzej mailto [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS) >]
Stemper, André mailto [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS) >]
Thoemel, Jan mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Remote Sensing >]
17-Nov-2022
European Space Agency
[en] This document is the final report concluding the execution of the AtMonSat project co-funded by the European Space Agency (ESA) under the Open Space Innovation Platform (OSIP) and the University of Luxembourg. AtMonSat concerns on-board fault detection using artificial neural networks for CubeSat systems and related spacecraft where computing resources are limited. In particular, the concrete problem scenario of malfunctioning of CubeSat board elements is considered. The AtMonSat final report provides the problem statement, discusses the performed experiments designed to generate proper sets of data, and presents the details of the proposed solution. The report shows the devised framework to be both effective and suitable for implementation on a CubeSat.
Autonomous Trustworthy Monitoring and Diagnosis of CubeSat Health (AtMonSat)
http://hdl.handle.net/10993/55702

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