摘要
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。
Fault diagnosis model of nuclear power station, which is based on neural network and probabilistic risk analysis (PSA) theory, is studied. By utilizing sort of parameters, a detailed corresponding network program is developed. Furthermore, the work shows good result of application of PSA to filtrate and analyze the diagnosis objects.
出处
《原子能科学技术》
EI
CAS
CSCD
2002年第6期494-497,共4页
Atomic Energy Science and Technology
关键词
核电站
安全性
故障诊断
神经网络
概率安全分析
地家系统
nuclear power station
safety
fault diagnosis
neural network
probabilistic safety analysis
expert system