节点文献

基于改进BP算法的凝给水系统故障诊断神经网络的分析与训练

The analysis and training of fault diagnosis neural network to the condensate and feedwater system based on the improved back propagation arithmetic

  • 推荐 CAJ下载
  • PDF下载
  • 不支持迅雷等下载工具,请取消加速工具后下载。

【作者】 杨永强田华安潘艳

【Author】 YANG Yong-qiang, TIAN Hua-an, PAN Yan(1. Wuhan Second Ship Design and Research Institute, Wuhan 430064, China; 2. Wuhan First Ship Design and Research Institute,Wuhan 430064,China)

【机构】 武汉第二船舶设计研究所武汉第一船舶设计研究所武汉第二船舶设计研究所 湖北武汉430064湖北武汉430064

【摘要】 分析了故障诊断神经网络的组成,构建了凝给水系统故障诊断神经网络,并用改进BP算法对新构建网络进行了训练。训练后的凝给水系统故障诊断神经网络得到了很好的验证。

【Abstract】 The makeup of fault diagnosis neural network is analysed, and the fault diagnosis neural network to the condensate and feedwater system is established. The new neural network is trained with the improved back propagation arithmetic. The fault diagnosis neural network to the condensate and feedwater system that has been trained is well testified.

  • 【分类号】TP183
  • 【被引频次】3
  • 【下载频次】111
节点文献中: 

本文链接的文献网络图示:

本文的引文网络