神经网络在滚动轴承故障诊断中的应用  

Application of Neural Network in Fault Diagnosis of Rolling Bearing

作　　者：蒋康保[1] 

机构地区：[1]衡阳技师学院模具系,湖南衡阳421101

出　　处：《装备制造技术》2010年第1期115-117,共3页Equipment Manufacturing Technology

摘　　要：提出了基于神经网络的滚动轴承故障诊断方法,以滚动轴承小波分解后的能量信息作为特征,通过神经网络作为分类器对滚动轴承故障进行识别,经过实验表明,该方法对于滚动轴承的故障诊断具有一定的应用价值,并可方便地推广到类似的诊断领域。In this paper, we present a method for fault testing on rolling bearing based on neural network. The wavelet energy is adopted to represent bearing signal＇s feature, and a BP neural network is trained and served as classifier of fault diagnosis system. This method is contributive for rolling bearing＇ s fault diagnosis and it can be easily extended to other relative fault diagnosis areas.

关 键 词：神经网络 故障诊断 滚动轴承 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程] TH133.3[自动化与计算机技术—控制科学与工程]