现代制造工程Issue(10)：139-142,4.
基于改进BP神经网络的主轴伺服系统故障诊断研究
The research of fault diagnosis based-on BP neural network for spindle servo system
杜晋 1陆宝春 2卫玉芬 1张承阳1
作者信息
- 1. 扬州职业大学机械工程学院,扬州225009
- 2. 南京理工大学机械工程学院,南京210094
- 折叠
摘要
Abstract
The fault model is established according to the fault features of spindle servo system, and the fault samples are also summed up,a fault diagnosis approach for spindle servo system based on Levenberg-Marquardt (L-M) algorithm of improved BP neural network is applied,simulated with MATLAB,the results show the validity of the fault diagnosis system.关键词
主轴伺服系统/故障诊断/L-M算法/BP神经网络Key words
spindle servo system/fault diagnosis/Levenberg-Marquardt (L-M) algorithm/BP neural network分类
信息技术与安全科学引用本文复制引用
杜晋,陆宝春,卫玉芬,张承阳..基于改进BP神经网络的主轴伺服系统故障诊断研究[J].现代制造工程,2012,(10):139-142,4.
