An Anomaly Detection Method for Spacecraft Using ICA Technology
Bing lin Xu, Zhan huai Li
Bing lin Xu
Available Online August 2013.
- https://doi.org/10.2991/icacsei.2013.13How to use a DOI?
- Data Process, Spacecraft Heath Monitoring, Independent Component Analysis, Fault Diagnose
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - 2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013) PB - Atlantis Press SN - 1951-6851 UR - https://doi.org/10.2991/icacsei.2013.13 DO - https://doi.org/10.2991/icacsei.2013.13 ID - Xu2013/08 ER -