摘要
将模糊分类和传统神经网络相结合，建立了模糊神经网络（ＦＮＮ）故障诊断模型，并将该模型应用于透平机械故障诊断，同时在模糊神经网络的输出中引人故障概率因子。分析表明ＦＮＮ的性能优于传统ＢＰ网络。
Connecting fuzzy classification to artificial neural networks, the paper builds machine fault diagnosis model based on Fuzzy Neural Networks(FNN), and uses the model for turbo-machinery fault diagnosis.At the same time, fault probability factor is induced in this paper. The analysis presents the performance of FNN is superior to traditional BP neural networks。
出处
《汽轮机技术》
北大核心
1999年第4期216-219,202,共5页
Turbine Technology
关键词
模糊分类
故障诊断
神经网络
机械故障
fuzzy classification fault diagnosis artificial neural networks(FNN)
