Gear Fault Diagnosis Based on BP Neural Network

被引：3
|
作者：
Huang, Yongsheng [1 ]
Huang, Ruoshi [2 ]
机构：
[1] Guangdong Univ Petrochem Technol, Coll Mech & Elect Engn, Maoming 525000, Peoples R China
[2] China Elect Technol Grp Corp, Res Inst 7, Guangzhou 510310, Guangdong, Peoples R China
来源：
2017 INTERNATIONAL SYMPOSIUM ON APPLICATION OF MATERIALS SCIENCE AND ENERGY MATERIALS (SAMSE 2017) | 2018年 / 322卷
关键词：
D O I：
10.1088/1757-899X/322/7/072043
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
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.
引用
收藏
页数：5
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