State trend prediction of spacecraft based on BP neural network

According to the requirement of state trend prediction for spacecraft fault prediction, a spacecraft state trend prediction method is proposed based on BP neural network. The principle and model of BP neural network are introduced into spacecraft fault prediction. Considering the specific application background, the relevant algorithm flow is provided. Taking the temperature parameter of key components in satellite as research object, the state trend prediction computation and comparison are implemented. The precision of the prediction results is evaluated, and it verifies the reliability and validity of the proposed method in quantitative way.