Gear fault diagnosis method of intelligence based on genetic algorithm to optimize the BP neural network

摘要：

　　The work of the gear transmission is very complex,and its failure in the form and features tend to show non-linear mapping.Fault signal is often submerged in conventional vibration signal and noise,it is not easy using traditional signal processing methods to extract fault features which in a difficult to gear fault diagnosis.This paper based on the genetic algorithm to optimize the structure of the BP neural network model for the intelligent diagnosis system which b used in gear fault diagnosis.The experimental results show that this method can be effectively used for the diagnosis and identification of the gears common fault type.

关键词： Artificial Neural BP nearal network Gear fault intelligent diagnosis Vibration Signal

作者: Jie Fang

作者单位: Department of Maths and Computer Science Fuqing Branch of Fujian Normal University Fuqing, China

会议类型: 国际会议

会议名称: 2012 2nd International Conference on Computer and Information Applications(ICCIA2012)(2012第二届计算机和信息应用国际会议)

会议地点: 太原

会议语种:英文

页码: 815-818

在线出版日期: 2012-12-08（万方平台首次上网日期，不代表论文的发表时间）