Fault Diagnosis Method of Rolling Bearing Based on BP Neural Network

摘要：

A fault diagnosis method of rolling bearing based on BP neural network and time domain parameters of vibration signal was proposed to realize fast fault diagnosis. The input vectors of the BP neural network were skewness, kurtosis, peak and margin of vibration signal The structure of the neural network was determined with simulation research. Gradient descending method was used to train the parameters of BP neural network. Experiment results of fault diagnosis showed that with this method fast diagnosis of rolling bearing faults could be realized effectively.

关键词： fault diagnosis rolling bearing BP neural network

作者: Huang zhonghua XieYa

作者单位: College of mechanical and electricity,Central South University Changsha,P.R.C China Aviation Power p Department of computer,College of International Economic,Changsha,P.R.C

会议类型: 国际会议

会议名称: 2009 International Conference on Measuring Technology and Mechatronics Automation(ICMTMA 2009)(2009年检测技术与机械自动化国际会议)

会议地点: 长沙

会议语种:英文

页码: 647-649

在线出版日期: 2009-04-11（万方平台首次上网日期，不代表论文的发表时间）