Gear Fault Diagnosis Based on BP Neural Network

摘要：

　　Gear transmission is more complex,widely used in machinery fields,which form of fault has some nonlinear characteristics.This paper uses BP neural network to train the gear of four typical failure modes,and achieves satisfactory results.Tested by using test data,test results have an agreement with the actual results.The results show that the BP neural network can effectively solve the complex state of gear fault in the gear fault diagnosis.

作者: Yongsheng Huang Ruoshi Huang

作者单位: College of Mechanical & Electrical Engineering,Guangdong University of Petrochemical Technology,Maom No.7 Research Institute,China Electronics Technology Group Corporation,Guangzhou 510310,China

会议类型: 国际会议

会议名称: The 1st International Symposium on Application of Materials Science and Energy Materials (SAMSE 2017)

会议地点: 上海

会议语种:英文

页码: 1-5

在线出版日期: 2017-12-28（万方平台首次上网日期，不代表论文的发表时间）