摘要
在将演化计算方法引入径向基函数 (RBF)网络训练的基础上 ,建立了一个故障诊断模型 ,给出了一种隐层节点自生成的学习方法 ,并在齿轮的故障诊断应用中得到验证 图 2 ,表 1 ,参
A fault diagnosis model and a kind of training method of self-generating of hidden units are given by means of application of evolutionary computation to the radial basis function (RBF) network training.The example of gear fault diagnosis in this paper indicates that this algorithm is effective.2figs.,1tab.,5refs.
出处
《湘潭矿业学院学报》
2000年第1期57-61,共5页
Journal of Xiangtan Mining Institute
关键词
演化计算
RBF网络
自生成
故障诊断
隐层节点
齿
evolutionary computation, RBF network, self-generating, fault diagnosis Synopsis of the first author Yu Yidao,male,born in 1957,associate professor,fault diagnosis.
