基于小波包分析和改进自适应遗传算法的齿轮故障诊断
The gear is one of the most important elements in the trainsmission system.Aiming at the fault diagnosis problem of gear,a new gear fault diagnosis method that based on wavelet packet analysis and improving adaptive genetic algorithm is put forward,and which is on the basis of synthesizing the advan...
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| Main Authors: | , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Journal of Mechanical Transmission
2010-01-01
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| Series: | Jixie chuandong |
| Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2010.04.024 |
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| Summary: | The gear is one of the most important elements in the trainsmission system.Aiming at the fault diagnosis problem of gear,a new gear fault diagnosis method that based on wavelet packet analysis and improving adaptive genetic algorithm is put forward,and which is on the basis of synthesizing the advantages of wavelet-packet noise reduction,fuzzy logic,high-order BP neural network and improving adaptive genetic algorithm.The experimental results show that this method has advantage over the routine method in classification precision and training total error control. |
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| ISSN: | 1004-2539 |