离散BAM网络在混凝土输送泵故障诊断中的应用  

Application of BAM Neural Network to Hydraulic System Fault Diagnosis of Concrete Pump

作　　者：王宇飞[1] 谷立臣[1] 

机构地区：[1]西安建筑科技大学机械电子技术研究所,西安710055

出　　处：《煤矿机械》2009年第12期233-236,共4页Coal Mine Machinery

摘　　要：以混凝土输送泵液压系统为研究对象,详细论述了离散BAM网络及其动力学演化过程,建立了基于BAM算法的神经网络模型,将其应用到混凝土输送泵液压系统的故障诊断中,并利用Lyapunov能量分布图对网络进行分析。结果表明:将离散BAM网络应用于故障诊断是可行的,为故障诊断开辟了一条新途径。Based on the hydraulic system fauh diagnosis of concrete pump, the discrete BAM neural network and dynamics of evolution is described in detail. The neural network model based on BAM algorithm is established and used for the hydraulic system fault diagnosis of concrete pump. And take advantage of the energy distribution of Lyapunov to analyze the network. The result shows that the discrete BAM network applied to fault diagnosis is feasible and opens up a new way for fault diagnosis.

关 键 词：BAM网络 混凝土输送泵 故障诊断 Lyapunov能量函数 

分 类 号：TP306[自动化与计算机技术—计算机系统结构] TP271[自动化与计算机技术—计算机科学与技术]