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The GSOC satellite telemetry analysis framework

Schlag, Leonard and Dauth, Matthias and Braun, Armin (2019) The GSOC satellite telemetry analysis framework. Deutscher Luft- und Raumfahrtkongress 2019 (DLRK 2019), 30. Sep. - 02. Okt. 2019, Darmstadt.

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Given the huge amount of data a modern spacecraft sends back to Earth, monitoring its status without the aid of automatization has become an almost unfeasible task. To assist engineers, the Automated Telemetry Health Monitoring System (ATHMoS) is being developed at the German Space Operation Center. It employs a semi-supervised machine learning approach to automatically detect novel behavior or outliers in satellite telemetry. The algorithms and models of ATHMoS are further designed to detect slowly varying trends in telemetry to rise awareness of potential problems of a satellite at an early stage. Since expert knowledge of engineers is indispensable for the correct assessment of certain behaviour of telemetry data and for contextualizing it, the automatically trained ATHMoS models can be augmented by engineers. To ease the interpretation of ATHMoS results and to give engineers a powerful and comprehensive platform for their investigations, ATHMoS is embedded in the new Visualization and Data Analysis (ViDA) framework. ViDA further allows engineers to access and plot all telemetry data sent to ground and to run customized analyses.

Item URL in elib:https://elib.dlr.de/148456/
Document Type:Conference or Workshop Item (Speech)
Title:The GSOC satellite telemetry analysis framework
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Date:October 2019
Refereed publication:No
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Keywords:Satellite telemetry analysis framework, Data visualization, Machine learning
Event Title:Deutscher Luft- und Raumfahrtkongress 2019 (DLRK 2019)
Event Location:Darmstadt
Event Type:international Conference
Event Dates:30. Sep. - 02. Okt. 2019
Organizer:Deutsche Gesellschaft für Luft- und Raumfahrt (DGLR)
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Artificial Intelligence
Location: Oberpfaffenhofen
Institutes and Institutions:Space Operations and Astronaut Training > Mission Technology
Deposited By: Dauth, Matthias
Deposited On:24 Jan 2022 10:26
Last Modified:24 Jan 2022 10:26

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