反应堆补水系统诊断贝叶斯网络的建立和应用

摘要

A fault diagnostic Bayesian network of reactor make-up system was constitu-ted .The system’s structure characters ,operation rules and experts’ experience were combined and an initial net was built .As the fault date sets were learned with the parti-cle swarm optimization based Bayesian network structure ,the structure of diagnostic net was completed and used to inference case .The built net can analyze diagnostic prob-ability of every node in the net and afford assistant decision to fault diagnosis .%建立了补水系统贝叶斯故障诊断网络。在结合补水系统结构特点、运行规程和专家经验的基础上构建了初始诊断贝叶斯网络，运用基于微粒群优化的贝叶斯网络学习算法学习故障数据集，进一步构建完整网络，并进行推理分析。所建网络能有效分析和更新系统中各节点故障概率，为故障诊断提供辅助决策。