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Performance Evaluation and Improvement of Anomaly Detection Algorithms on Satellite Telemetry

Feldhues, Anna Katharina (2020) Performance Evaluation and Improvement of Anomaly Detection Algorithms on Satellite Telemetry. Master's, Universität der Bundeswehr München.

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The goal of this thesis is to create a basis for future work in the field of evaluation of satellite telemetry. In particular, this work is concerned with the development of a framework for the benchmarking of different algorithmic methods for anomaly detection in satellite telemetry. For this purpose, common and newly developed algorithms from many different areas of scientific applications are presented. For many years now, in-depth research has been conducted in many areas of anomaly detection, for example to detect anomalies in power supplies or to support sensor technology on ships. The algorithms will be presented and examined with respect to their suitability in the field of satellite telemetry. Furthermore, telemetry data as such will be examined in detail. Satellite telemetry data represent a special case of data, because they can differ depending on the mission and have special characteristics. Typical problems in telemetry data include gaps in the data, occurrence of noise and unknown events and thus unexpected changes in the recordings. Benchmarking should be considered as the third fundamental area of research. For this purpose it has to be examined how far the development in the evaluation of anomaly detection algorithms has progressed and the use of possible approaches for the evaluation of telemetry data has to be discussed. Finally, the results are summarized and an outlook on future developments is given.

Item URL in elib:https://elib.dlr.de/139527/
Document Type:Thesis (Master's)
Additional Information:This master thesis was subject of a cooperation between the Bundeswehr University Munich and the mission technology group (MBT) at GSOC. We supported the student with expertise in anomaly detection algorithms.
Title:Performance Evaluation and Improvement of Anomaly Detection Algorithms on Satellite Telemetry
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Feldhues, Anna KatharinaUniversität der Bundeswehr MünchenUNSPECIFIEDUNSPECIFIED
Date:14 September 2020
Refereed publication:Yes
Open Access:No
Number of Pages:32
Keywords:anomaly detection, telemetry, OPVID
Institution:Universität der Bundeswehr München
Department:Institut für Raumfahrttechnik und Weltraumnutzung LRT9.1
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 - Projekt TanDEM-X (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Space Operations and Astronaut Training
Space Operations and Astronaut Training > Mission Technology
Deposited By: Wander, Alexandra
Deposited On:14 Dec 2020 11:27
Last Modified:14 Dec 2020 11:27

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