Abstract
There is a huge amount of data in the satellite power subsystem, and the information and knowledge related to the operating status of the power subsystem in these data is an important for the abnormal state detection of the power subsystem. In order to make data mining of satellite power subsystem and set the reference for its anomaly detection, a satellite power subsystem anomaly detection technology based on the health baseline is proposed. According to the core operating conditions of the satellite power subsystem, health baselines are constructed respectively, and the effectiveness of the proposed method is verified by the telemetry data of the satellite power subsystem. With robustness, the test results show that anomaly detection of the onboard power subsystem can be achieved based on the constructed health baseline.
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© 2019 Springer Nature Singapore Pte Ltd.
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Zhang, L., Li, Z., Sun, B., Zhang, S. (2019). Research on Satellite Power Subsystem Anomaly Detection Technology Based on Health Baseline. In: Sun, S., Fu, M., Xu, L. (eds) Signal and Information Processing, Networking and Computers. ICSINC 2018. Lecture Notes in Electrical Engineering, vol 550. Springer, Singapore. https://doi.org/10.1007/978-981-13-7123-3_27
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DOI: https://doi.org/10.1007/978-981-13-7123-3_27
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Publisher Name: Springer, Singapore
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Online ISBN: 978-981-13-7123-3
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