基于MATLAB的集成神经网络在给水泵故障诊断中的应用

Application of Integrated Neural Network Based on MATLAB to Fault Diagnosis of Feed Water Pump

针对大型火电站电动给水泵常见的振动故障,采用基于MATLAB的集成神经网络对给水泵的振动故障进行诊断。从单个神经网络开始,从信息融合的角度建立了集成神经网络故障诊断方法,探讨集成神经网络的实现策略和组建原则,并给出给水泵振动故障诊断的实例,证明该诊断方法提高了故障确诊率。

The frequent vibration faults of the feed water pump in large - scale power plants are diagnosed by the integrated neural network based on MATLAB. The integrated neural network for fault diagnosis is established with individual neural network and information integration. The strategies and principles for the realization and formation of integrated neural network are analyzed and a case which is about the fault diagnosis of the feed water pump is given to prove the efficiency of the integrated neural network for fault diagnosis in feed water pump.