基于Labview的核动力蒸汽发生器故障诊断系统研究

Fault Diagnosis System of Nuclear Power Steam Generator Based on Labview

Labview是一个使用图形化语言编程的软件开发平台,广泛地用于测试测量、工业控制等领域;径向基函数(RBF)神经网络是一种高效的前馈神经网络,广泛地用于故障诊断研究;通过对核动力蒸汽发生器的典型故障分析,将RBF神经网络用于蒸汽发生器的故障诊断,在Labview平台上显示诊断结果;采用Labview与Matlab混合编程,建立了基于智能虚拟仪器技术的故障诊断系统;该诊断系统提高了故障诊断效率。

Labview is a software development platform by using graphical programming language,which is widely used in measurement,industrial control and other fields. Radial basis function（ RBF） neural network is an efficient feed-forward neural network,which is widely used in fault diagnosis research. By analyzing the typical fault of nuclear power steam generator,RBF neural network was introduced to the fault diagnosis of steam generators. And diagnostic results were displayed on Labview platform. By combining Labview and Matlab programming,a system of fault diagnosis based on intelligence and virtual instrument technology was established,which greatly improves the efficiency of fault diagnosis.