摘要
分析了基于神经元网络故障诊断主特征量提取的方法,论述了几何距离函数和信息距离函数算法的构成及在神经元网络分类器中的应用。通过实验表明,在运用神经元进行故障诊断中采用主特征量提取法对特征量进行信息压缩是行之有效的。
Analyzes how to pick up the important characteristic values in fault diagnosis based on neutron network,also describes how the algorithm of geometric distance function and the information distance function is configurated and its application in the neutron element network segregator.The test shows that it is an effective method by picking up the important characteristic values to compact the information in neutron element fault diagnosis.
出处
《煤矿机械》
北大核心
2007年第6期188-190,共3页
Coal Mine Machinery
关键词
神经网络
故障诊断
主特征量
液压系统
neutron network
fault diagnosis
important characteristic value
hydraulic system
