【摘要】 在电子系统电磁脉冲易损性评估问题中,电子系统各层元素的易损性信息具有显著的不均衡性,为了降低系统电磁脉冲易损性评估计算过程中的不确定度,本文基于分层贝叶斯网络模型及贝叶斯信息融合算法,建立了电子系统电磁脉冲易损性评估模型及易损性信息融合算法,并以某星用模数转换系统的电磁脉冲易损性评估问题为例,应用本文提出的信息融合算法,给出了系统后验概率分布及后验均值估计,验证了本文计算的有效性。更多还原

【Abstract】 The vulnerability information available at different system levels has a significant imbalance in the vulnerability assessment of electronic systems to electromagnetic pulse(EMP). To reduce the uncertainty in the calculation of electromagnetic pulse vulnerability assessment, this paper presents an electromagnetic pulse vulnerability assessment model and a vulnerability information fusion algorithm in an electronic system, and takes the electromagnetic pulse vulnerability assessment of an analog-to-digital conversion system as an example based on the hierarchical Bayesian networks and Bayesian information fusion approach. By using the information fusion algorithm proposed in this paper, the posterior probability distribution and posterior mean estimation of the system are given, and the validity of the calculation is verified.更多还原