基于神经网络的滚动轴承振动预测  

Prediction of rolling bearing vibration based on neural network

作　　者：夏新涛[1] 孟凡念[1] 

机构地区：[1]河南科技大学机电工程学院,河南洛阳471003

出　　处：《哈尔滨轴承》2009年第1期1-3,13,共4页Journal of Harbin Bearing

基　　金：国家自然科学基金资助项目(50675011;50375011);河南科技大学博士科研启动基金资助项目(09001318)

摘　　要：以神经网络与MATLAB实现理论为依据,提出了一种新的滚动轴承振动预测方法。这种方法根据轴承的加工质量试验数据,建立轴承振动预测的BP网络试验模型,在MATLAB开发环境下输入训练样本数据矩阵和目标矩阵。经过训练后,网络误差达到要求,预报结果的最大相对误差小于10%。Based on neural network and MATLAB realizing theory, a new method of forecasting vibration of rolling bearings was proposed. According to the test data of bearing processing quality, this method estabcishes the BP net trial model for bearing vibration prediction and the training sample data and the goal matrix are inputted in the MATLAB development environment. After.training, the network error is met matrix and the maximum of the relative errors of forecasting results is less than 10%.

关 键 词：滚动轴承:振动:预测:神经网络 

分 类 号：TH133.33[机械工程—机械制造及自动化]