RBF神经网络在磨矿故障诊断中的应用

Application of RBF Neural Network in Fauit Diagnosisof Mineral Grinding Machine

对 RBF神经网络的结构和特性进行了简要的概述 ,指出 RBF网络可避免网络训练局部最优问题 ,是一种分类能力较强的神经网络。应用该方法设计出神经网络故障诊断系统 ,并对磨矿设备进行的模拟验证 ,结果表明网络的应用是成功的。

The organization and character of RBF network has been introduced and the conclusion that RBF neural network is a kind of better classifier has been showed. A neural network Fault Diagnosis system has been designed, a simulation on fault diagnosis of mineral grinding machine has been done, the result showed that application of RBF neural network was successfully.