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.
出处
《装备制造技术》
2010年第1期115-117,共3页
Equipment Manufacturing Technology
关键词
神经网络
故障诊断
滚动轴承
rolling bearing
neural network
fault diagnosis
