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The node selection of satellite attitude control system based on sensitivity function in Bayesian network

In order to improve efficiency and save limited storage space for on-orbit fault diagnosis system, the node selection problem of satellite attitude control system based on the sensitivity function in Bayesian Network is investigated. First, the Bayesian Network model of the satellite attitude control system is established based on expert experience and historical fault data, so that to reduce the complexity and uncertainty of the system. Then, through analyzing the importance of each node, a node selection algorithm is proposed through using Bayesian sensitivity function, which can greatly improve the reliability and fault diagnosis performance of the whole system. Finally, numerical computation results show that the proposed algorithm is efficient and has the potential to be used in practice.