An Anomaly Detection Algorithm Based on Frequency Change of Satellite Telemetry Data

DOI

10.2991/esac-15.2015.22How to use a DOI?

Keywords

Telemetry data, Frequency, Parallel computing

Abstract

Based on different data frequency’s characteristics, design the algorithms of distinguishing cycle data’s margin apart and distinguishing cycle data’s monotone apart, to monitor satellite’s downlink data and early warning abnormal. Compared with rapid fourier transform, this algorithm was proved to be reasonable and efficient.

Copyright

© 2015, 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  - Bo Qin
AU  - Yumin Yang
AU  - An Wang
AU  - Xizhong Gong
PY  - 2015/08
DA  - 2015/08
TI  - An Anomaly Detection Algorithm Based on Frequency Change of Satellite Telemetry Data
BT  - Proceedings of the 2015 International Conference on Electronic Science and Automation Control
PB  - Atlantis Press
SP  - 87
EP  - 90
SN  - 2352-538X
UR  - https://doi.org/10.2991/esac-15.2015.22
DO  - 10.2991/esac-15.2015.22
ID  - Qin2015/08
ER  -