摘要
通过介绍神经网络的模型算法,根据齿轮的四种故障类型,采用BP神经网络对其进行训练和诊断,得到了较为理想的结果,为及早发现和预防机械故障提供了可靠的理论依据。
In this paper, the model of neural network algorithm is introduced, and according to four kinds of fault type of the gear, an ideal result is obtained by using BP neural network training and diagnosis. Thus it provides the reliable theoretical basis for early detection of mechanical failures and prevention.
出处
《机械研究与应用》
2015年第1期88-90,93,共4页
Mechanical Research & Application
关键词
齿轮
故障诊断
BP神经网络
训练算法
gear
fault diagnosis
BP neural network
training algorithm
