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对基于神经网络和概率安全分析 (PSA)的故障诊断模型进行了研究 ,利用部分参数建立了模型和编制了相应的网络程序 ,并提出了利用PSA的成果和其定量化的指标分析简化诊断对象 ,取得了很好的效果。
The fault diagnosis model based on neural network and probabilistic safety analysis (PSA) is studied. The model is established by using some parameters and the corresponding network program is compiled. The use of the results of PSA and its quantified index analysis to simplify the diagnosis object , Has achieved very good results.