摘要
将先进的故障预测和健康管理技术引入航天电子系统将极大地提高系统的可靠性和可用性.在对当前电子产品PHM技术进行了综合分析的基础上,提出了一种层次式PHM构架,将基于模型的和基于数据的方法结合在一起,并在顶层通过特征提取与自动推理算法的融合处理,得到对整个电子系统的最优健康估计.
The reliability and avalibality of space-borne electric systems can be greatly improved by introducing advanced Prognostics and Health Management（PHM）technology.Based on synthetical analysis of current PHM techniques used in eletric systems,this paper put forward a hierarchical architecture,in which the model-based method and the data-driven method is combined,and feature extracting algorithms and automatic reasoning algorithms are fused at the top level to get the optimum health estimation.
出处
《微电子学与计算机》
CSCD
北大核心
2010年第10期96-100,共5页
Microelectronics & Computer
