An Anomaly Detection Method for Spacecraft Using ICA Technology

DOI

10.2991/icacsei.2013.13How to use a DOI?

Keywords

Data Process, Spacecraft Heath Monitoring, Independent Component Analysis, Fault Diagnose

Abstract

Anomalies, outlier and fault means that the received data do not fit the common pattern, and may often be occur in spacecraft missions because of the high complexity and rugged operating environment of spacecraft. In order to reveal the potential faults or anomalies many methods and technology have been researched and achieved fruitful results. In this paper, we proposed an anomaly detection method for Spacecraft based on ICA technology. The independent component analysis (ICA) is recently developed in order to extract possible independent component and reveal the hidden anomaly pattern and can be used in the anomaly detection for spacecraft. By Applying ICA technology on spacecraft telemetry data, we can reveal the hidden anomalies in telemetry data which can not be accomplished by the ordinary method. The fastICA algorithm is used when doing ICA on real spacecraft telemetry. The simulation result and the application on real telemetry data prove the effectiveness of the method.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Bing lin Xu
AU  - Zhan huai Li
PY  - 2013/08
DA  - 2013/08
TI  - An Anomaly Detection Method for Spacecraft Using ICA Technology
BT  - Proceedings of the 2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013)
PB  - Atlantis Press
SP  - 50
EP  - 54
SN  - 1951-6851
UR  - https://doi.org/10.2991/icacsei.2013.13
DO  - 10.2991/icacsei.2013.13
ID  - Xu2013/08
ER  -