Research On Safety Risk Monitoring Of Satellite Power System Based On Bayesian Network

The satellite power system is the key component of the satellite system, the safetyrisk level plays a decisive role in the satellite’s performance and life, It’s of vitalimportance to study on the safety risk monitoring method. The current method isdifficult to analysis the dynamic, multiple states, uncertain systems. The BayesianNetwork is a probability-based approach to infer or make decision in systems withstochastic parameters. It is used to model and predict the behaviour of the system. Inthis paper we proposed a method to monitor the risk level of satellite power systembased on Bayesian Network.(1)Though analysising the components and structure of the power system, A safetyrisk monitor model is established on the working principle and failure mechanismsbased on Bayesian Network. The safety risk states, corresponding critical states, crucialcomponents is defined. Make a analysis on the critical states and crucial componentsthough the Bayesian Network inferring mechanisms.(2)On the safety risk monitoring, the paper gives a state reliability modelingmethod of the components with performance degradation or not, proposed theevaluating algorithm for the power system, and predicted the transition time betweensafety risk state.(3)There are many satellite power system components, it’s not practical to controlall the components, so the thesis analysis the importance degree of each component ofthe satellite power system, and gives control to the system safety risk level according tothe components importance degree sort. At the same time gives some suggestions todeal with the safety risk accident.The article concludes the main contents of this paper, the prospect for furtherresearch.