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Open AccessArticle

Intelligent Analysis Algorithm for Satellite Health under Time-Varying and Extremely High Thermal Loads

1
School of Aeronautic Science and Engineering, Beihang University, Beijing 100191, China
2
Institute of Engineering Thermophysics, North China University of Water Resources and Electric Power, Henan 450045, China
3
Advanced Research Center of Thermal and New Energy Technologies, Xingtai Polytechnic College, Hebei 054035, China
4
School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China
5
Chengyi Academy of PKUHS, Peking University, Beijing 100080, China
*
Author to whom correspondence should be addressed.
Entropy 2019, 21(10), 983; https://doi.org/10.3390/e21100983
Received: 12 September 2019 / Revised: 7 October 2019 / Accepted: 8 October 2019 / Published: 10 October 2019
This paper presents a dynamic health intelligent evaluation model proposed to analyze the health deterioration of satellites under time-varying and extreme thermal loads. New definitions such as health degree and failure factor and new topological system considering the reliability relationship are proposed to characterize the dynamic performance of health deterioration. The dynamic health intelligent evaluation model used the thermal network method (TNM) and fuzzy reasoning to solve the problem of model missing and non-quantization between temperature and failure probability, and it can quickly evaluate and analyze the dynamic health of satellite through the collaborative processing of continuous event and discrete event. In addition, the temperature controller in the thermal control subsystem (TCM) is the target of thermal damage, and the effects of different heat load amplitude, duty ratio, and cycle on its health deterioration are compared and analyzed. View Full-Text
Keywords: satellite; dynamic health evaluation; fuzzy reasoning satellite; dynamic health evaluation; fuzzy reasoning
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Li, E.-H.; Li, Y.-Z.; Li, T.-T.; Li, J.-X.; Zhai, Z.-Z.; Li, T. Intelligent Analysis Algorithm for Satellite Health under Time-Varying and Extremely High Thermal Loads. Entropy 2019, 21, 983.

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