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To Catch Them All: A Generic Approach for Pattern Detection in Time Series Satellite Telemetry Data

Schefels, Clemens and Schlag, Leonard and Dreier, Lukas and Lincoln, Lucas and Steinbach, Markus (2021) To Catch Them All: A Generic Approach for Pattern Detection in Time Series Satellite Telemetry Data. 16th International Conference on Space Operations (SpaceOps 2021), 03.-05. Mai 2021, Cape Town, South Africa.

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Official URL: https://spaceops.iafastro.directory/a/proceedings/SpaceOps-2021/SpaceOps-2021/5/manuscripts/SpaceOps-2021,5,x1248.pdf

Abstract

This paper presents a tool that enables automatic recognition of patterns in historical satellite telemetry datasets. This tool uses pattern-matching techniques to identify substantially similar patterns to a user selected interval within a time series. In this sense, the software serves as a powerful data exploration tool for datasets which are too large for manual inspection. The system is designed to be robust to signal types, incomplete coverage, and inconsistent sampling, which are common issues with telemetry data. In detail, three distance-based algorithms, namely, Discrete Wavelet Transform, Dynamic Time Warping, and Adaptive Piecewise Constant Approximation, two probabilistic algorithms, namely, Gaussian Mixture Model, Hidden Markov Model, as well as an ensemble approach are implemented to cover and explore a wide variety of different pattern detection techniques. The system is evaluated on real satellite data and on the UCR (University of California, Riverside) Time Series Classification Archive.

Item URL in elib:https://elib.dlr.de/146401/
Document Type:Conference or Workshop Item (Speech)
Title:To Catch Them All: A Generic Approach for Pattern Detection in Time Series Satellite Telemetry Data
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Schefels, Clemensclemens.schefels (at) dlr.deUNSPECIFIED
Schlag, Leonardleonard.schlag (at) dlr.deUNSPECIFIED
Dreier, LukasTechnische Universität München (TUM)UNSPECIFIED
Lincoln, LucasTechnische Universität München (TUM)UNSPECIFIED
Steinbach, MarkusTechnische Universität München (TUM)UNSPECIFIED
Date:2021
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Telemetry, Time Series, Satellite, Data Analysis, Pattern Matching
Event Title:16th International Conference on Space Operations (SpaceOps 2021)
Event Location:Cape Town, South Africa
Event Type:international Conference
Event Dates:03.-05. Mai 2021
Organizer:South African National Space Agency (SANSA)
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space System Technology
DLR - Research area:Raumfahrt
DLR - Program:R SY - Space System Technology
DLR - Research theme (Project):R - Cognitive Autonomy for Space Systems (CASSy)
Location: Oberpfaffenhofen
Institutes and Institutions:Space Operations and Astronaut Training > Mission Technology
Deposited By: Wander, Alexandra
Deposited On:06 Dec 2021 10:30
Last Modified:06 Dec 2021 10:47

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