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Satellite Anomalous Behavior Detection System through Rough-Set and Fuzzy Model  

Yang, Seung-Eun (한국항공우주연구원 위성기술연구단 위성비행소프트웨어팀)
Publication Information
Journal of Satellite, Information and Communications / v.12, no.3, 2017 , pp. 35-40 More about this Journal
Abstract
Out-of-limit (OOL) alarm method that is threshold checking of telemetry value is widely used for the satellites fault diagnosis and health monitoring. However, it requires engineering knowledge and effort to define delicate threshold value and has limitations that anomalous behaviors within the defined limits can't be detected. In this paper, we propose a satellite anomalous behavior detection system through fuzzy model that is composed by important statistical feature selected by rough-set theory. Not pre-defined anomaly is detected because only normal state data is used for fuzzy model. Also, anomalous behavior within the threshold limit is detected by using statistic feature that can be collected without engineering knowledge. The proposed system successfully detected non-ordinary state for battery temperature telemetry.
Keywords
artificial satellite; statistical feature; rough-set; fuzzy model; fault management;
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