On-Board Anomaly Detection on a Flight-Ready System

Andreas Koch, Alisa Krstova, Florian Hegwein, Mario Castro De Lera, Filippo Ales, Michael Petry, Rashid Ali, Maen Mallah, Laurent Hili, Max Ghiglione, Martin Werner

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

Abstract

Within the scope of an ESA funded activity, Airbus Defence and Space GmbH completed a research and development study in order to provide a novel dataset to ESA and develop a flight-ready system for on-board anomaly detection. This work includes the extraction of satellite telemetry data, the identification of anomalies, the development of machine learning models and the flight-ready system and finally the deployment of the machine learning algorithms via hardware acceleration. We present the benchmarking results of three accelerated ML algorithms from within the final flight-ready system.

OriginalspracheEnglisch
TitelProceedings of the 2023 European Data Handling and Data Processing Conference for Space, EDHPC 2023
Redakteure/-innenMaris Tali, Max Ghiglione
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
ISBN (elektronisch)9789090379241
DOIs
PublikationsstatusVeröffentlicht - 2023
Veranstaltung2023 European Data Handling and Data Processing Conference for Space, EDHPC 2023 - Juan-Les-Pins, Frankreich
Dauer: 2 Okt. 20236 Okt. 2023

Publikationsreihe

NameProceedings of the 2023 European Data Handling and Data Processing Conference for Space, EDHPC 2023

Konferenz

Konferenz2023 European Data Handling and Data Processing Conference for Space, EDHPC 2023
Land/GebietFrankreich
OrtJuan-Les-Pins
Zeitraum2/10/236/10/23

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