基于RBF神经网络的故障诊断,简单讲述了RBF神经网络的设计与应用-RBF neural network based fault diagnosis, a brief descr iption of the RBF neural network design and application of

基于多层前向网络的诊断模型在设备 故障诊断领域应用比较广泛。 但在多层前向网络的 设计和训练问题上, 单隐层的隐层单元数选取一直非常困难, 一般采用试凑 法, 既费时又 不一定保证收敛。-Diagnostic model based on multilayer feedforward networks in the field of equipment fault diagnosis used widely. But before multilayer design and training

滚动轴承多部位多类别故障诊断属于大规模或者较复杂分类问题，利用智能方法诊断时需 要设计结构合理的神经网络才能实现高精度诊断 -Rolling multi-site multi-class fault diagnosis are more complex or large-scale classification problems, the need for the rational design of neural network structure in order to achieve