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On-Board Anomaly Detection From The Ops-Sat Telemetry Using Deep Learning

Detecting anomalies from the satellite telemetry is critical for its safe operation. Although many approaches to autonomous on-board anomaly detection have already been proposed, most of them have so far only been tested on non-satellite or simulated data. We tackled this research gap and proposed an end-to-end machine learning-powered approach for detecting abnormal events in real-life OPS-SAT telemetry data, and deployed it on board a satellite.

Poland

21-D-S-OPS-02-f

KP Labs
Energy-efficient regolith compactor for surface construction

The objective of the project was to design, developed and test the compaction device Breadboard in a regolith simulant Testbed. An experimental test campaign aimed to verify that the compaction device can be successfully used to improve the surface geotechnical properties of two different regolith simulants: GreenSpar-250 analogous to lunar Highlands, and AGK-2010 analogous to lunar Mare regions.

Poland

20-D-T-TEC-03-l

Astronika
System analysis of deployable components for micro landers in low gravity environment

The project entitled "System analysis of deployable components for micro landers in low gravity environment" is conducted within the framework of the ESA contract no. 4000117150/16/NL/HK/hh. Its goal is to perform an analysis and trade-off between the various design options for antennas and solar array deployment mechanisms (including a comparison between the fixed and deployable configurations) of the MASCOT-2 lander in the micro-gravity environment of Didymoon.

Poland

15/725

Space Research Centre of...
Ionospheric Sounding for Identification of Pre-seismic Activity

The INSPIRE project is dedicated to the study of physical processes and their effects in ionosphere which could be determined as earthquake precursors together with detailed description of the methodology of ionospheric pre-seismic anomalies definition.

Poland

12-135

Univ of Warmia and...

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