| 基于Kohonen网络的机械故障模式识别 |
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| 引用本文： | 申燚, 李宇, 李万莉, 颜荣庆. 基于Kohonen网络的机械故障模式识别[J]. 交通运输工程学报, 2002, 2(2): 52-54. |
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| 作者姓名： | 申燚 李宇 李万莉 颜荣庆 |
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| 作者单位： | 长沙交通学院,汽车与机电工程系,湖南,10076;长沙交通学院,汽车与机电工程系,湖南,10076;长沙交通学院,汽车与机电工程系,湖南,10076;长沙交通学院,汽车与机电工程系,湖南,10076 |
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| 摘 要： | 在自动聚类分析的基础上, 根据某汽轮机减速箱运行状态特征数据, 采用Kohonen网络方法, 确定该机械的运行状态, 结果与选用其它方法所确定的结果一致。该方法能实现对汽轮机减速箱运行状态的监控
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| 关 键 词： | Kohonen网络 模式识别 汽轮机减速箱 运行状态 |
| 文章编号： | 1671-1637(2002)02-0052-03 |
| 收稿时间： | 2001-10-26 |
| 修稿时间： | 2001-10-26 |
Pattern recognition of mechanical failure based on Kohonen network |
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| SHEN Yi, LI Yu, LI Wan-li, YAN Rong-qing. Pattern recognition of mechanical failure based on Kohonen network[J]. Journal of Traffic and Transportation Engineering, 2002, 2(2): 52-54. |
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| Authors: | SHEN Yi LI Yu LI Wan li YAN Rong qing |
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| Affiliation: | Department of Automobile and Mechanical Electrical Engineering, Changsha Communications University, Changsha 410076, China |
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| Abstract: | The application of Kohonen network to the diagnosing of mechanical failure was studied. The results show that the Kohonen network can discribe the machine's running through testing the characteristic data of decelerating box. Compared with other methods, it is pointed out that this method is reasonable, and this method can monitor and control the decelerating box running. 3 tabs,1 fig,8 refs. |
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| Keywords: | Kohonen network pattern recognition decelerating box of steamship running |
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