小卫星健康状态自主模糊综合评估方法

The current satellite ground test system has outstanding real-time attributes, but due to insufficient data mining and analysis, it is difficult to achieve satellite system-level health diagnosis. Comprehensive evaluation needs to be completed manually, and there are problems such as low efficiency and poor versatility. A comprehensive evaluation method for multi-level heterogeneous satellite systems is proposed in this paper. According to the characteristics of the slow, urgent, and key variables in the data, the single-item evaluation generation sheet based on the Gaussian distribution model, the Long Short-Term Memory model (LSTM) and the statistical model is realized respectively. The maximum deviation method is used to realize the combination of subjective and objective weight vector of the analytic hierarchy process and entropy weight method, and comprehensively evaluate the satellite state based on the fuzzy comprehensive evaluation method, and the automation and intelligence of the evaluation process are realized. The system verification is carried out on the small satellite semi-physical simulation platform, and the results show that the evaluation method can effectively evaluate the health status of the satellite system.