噪声与振动控制2018，Vol.38Issue(z1)：673-677,5.DOI:10.3969/j.issn.1006-1355.2018.Z1.146
BP神经网络在齿轮箱故障诊断中的应用
Application of BP Neural Network in Fault Diagnosis of Gear Boxes
许敬成 1陈长征1
作者信息
- 1. 沈阳工业大学 机械工程学院,辽宁 110870
- 折叠
摘要
Abstract
Gear transmission is one of the most important transmission forms in mechanical transmission. Its damage and failure often lead to mechanical equipment failure and large safety accidents. Therefore, state monitoring and fault diagnosis of the gear box have attracted more and more attention and research. In this paper, the mechanism of gear vibration and the principle and structure of BP neural network were briefly introduced, and the neural network was applied to the fault diagnosis of gear boxes. The neural network model was established by using the MATLAB code, and trained by the eigenvector extracted from the vibration signal. The trained BP neural network model was used to detect the faults of the gear box, and good results were achieved.关键词
振动与波/BP神经网络/齿轮箱/故障诊断/状态监测Key words
vibration and wave/BP neural network/gearbox/fault diagnosis/state monitoring分类
机械制造引用本文复制引用
许敬成,陈长征..BP神经网络在齿轮箱故障诊断中的应用[J].噪声与振动控制,2018,38(z1):673-677,5.
