蚁群神经网络在齿轮箱故障诊断中的研究与应用
Ant colony optimization（ACO） algorithm is led into training of and neural networks,which based on ACO algorithm and the implementing framework of ACO.The basic theory and steps of ACO training neural networks are given,and applied in fault diagnosis of engine’s gear box.By use of conventional"f...
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| Main Authors: | , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Journal of Mechanical Transmission
2007-01-01
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| Series: | Jixie chuandong |
| Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2007.04.024 |
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| Summary: | Ant colony optimization（ACO） algorithm is led into training of and neural networks,which based on ACO algorithm and the implementing framework of ACO.The basic theory and steps of ACO training neural networks are given,and applied in fault diagnosis of engine’s gear box.By use of conventional"frequency domain"analysismet hod,ant-neural networks fault diagnosis of gearbox is carried out.It is proved that fault diagnosis of engine gear box based on ant-nerual networks has upper precision and diagnosed gearbox t effectively,so improved effectiveness and quality of diagnosis. |
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| ISSN: | 1004-2539 |