会议论文详细信息
2017 International Symposium on Application of Materials Science and Energy Materials | |
Gear Fault Diagnosis Based on BP Neural Network | |
材料科学;能源学 | |
Huang, Yongsheng^1 ; Huang, Ruoshi^2 | |
College of Mechanical and Electrical Engineering, Guangdong University of Petrochemical Technology, Maoming | |
525000, China^1 | |
No. 7 Research Institute, China Electronics Technology Group Corporation, Guangzhou | |
510310, China^2 | |
关键词: BP neural networks; Gear fault diagnosis; Gear faults; Gear transmissions; Nonlinear characteristics; Test data; Typical failures; | |
Others : https://iopscience.iop.org/article/10.1088/1757-899X/322/7/072043/pdf DOI : 10.1088/1757-899X/322/7/072043 |
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学科分类:材料科学(综合) | |
来源: IOP | |
【 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.
【 预 览 】
Files | Size | Format | View |
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Gear Fault Diagnosis Based on BP Neural Network | 119KB | download |