动量轮在轨状态可靠性贝叶斯网络建模与评估

 卫星动量轮在轨运行环境复杂，并且无失效数据，难以利用传统方法进行可靠性建模与评估。为此，提出一种利用贝叶斯网络融合动量轮各种试验信息及轴温和电流等遥测数据的可靠性建模与评估方法。基于失效分析建立贝叶斯网络拓扑结构，根据试验数据估计网络参数，而后，通过贝叶斯网络的推理得到动量轮可靠度的点估计和区间估计，并利用在轨遥测数据实时评估动量轮可靠性，获得动量轮可靠性变化趋势比较明显的遥测数据取值区间。该方法对动量轮实时状态监控具有一定的理论和实践意义。

Bayesian Network Reliability Modeling and Assessment of Momentum Wheel on Orbit

The orbit environment of a satellite momentum wheel is very complicated,and there is hardly any failure data for it. Therefore it is nearly impossible to model and analyze its reliability using conventional me-thods. In view of this,the article presents a momentum wheel reliability modeling and assessing method using Bayesian network through fusing various test information and telemetric data such as bearing temperature and electric current. The topology of Bayesian network is founded based on failure analy...