摘要
文中根据神经网络的相关原理,运用神经网络领域的相关知识,对于工业生产中经常出现的设备故障,提出了一种基于RBF神经网络的诊断方法,并详细讨论了RBF神经网络的结构、训练算法及用于设备故障诊断的步骤,最后以某系统的故障诊断为例,证明了此方法的优越性。
Introduces a method of fault diagnosis which often occur during the course of industry based on RBF neural network and the knowledge application of neural network field.And discusses the structure of RBF neural network,the training algorithm and stages of fault diagnosis.The fault diagnosis example of marine diesel engine is given in the end, and it proves that the method is effective.
出处
《微机发展》
2004年第12期30-31,35,共3页
Microcomputer Development
基金
国家十五科技攻关项目(2001BA30701-0201)
关键词
RBF神经网络
故障诊断
训练算法
RBF neural network
fault diagnosis
training arithmetic
