基于SOM神经网络的凝汽器故障诊断研究  

Study on fault diagnosis of condenser based on SOM neural network

作　　者：马永光[1] 殷喆[1] 马良玉[1] 

机构地区：[1]华北电力大学控制科学与工程学院,河北保定071003

出　　处：《华北电力大学学报（自然科学版）》2006年第4期5-8,共4页Journal of North China Electric Power University：Natural Science Edition

摘　　要：应用自组织特征映射(SOM)神经网络实现凝汽器的故障诊断。介绍了SOM网络的结构和学习算法;总结了凝汽器的故障集、征兆集和故障特征数据。在MATLAB环境下给出了凝汽器故障诊断的具体实例,表明该方法是一种可行有效的凝汽器故障诊断方法。Amethod based on self-organizing neural network is applied to realize fault diagnosis of condenser. The structure of SOM network and learning algorithm is introduced. The fault sets, fault symptoms and fault feature dataare summarized. An instance of condenser fault diagnosis is presented in Matlab environment. The simulation result indicates that the method is effective.

关 键 词：凝汽器系统 故障诊断 SOM神经网络 

分 类 号：TK284.1[动力工程及工程热物理—动力机械及工程]