| Kohonen网络故障诊断方法及试验 |
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| 引用本文： | 冯志敏,王颖,胡志钢,郎豪翔.Kohonen网络故障诊断方法及试验[J].农业机械学报,2002,33(6):103-106. |
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| 作者姓名： | 冯志敏 王颖 胡志钢 郎豪翔 |
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| 作者单位： | 宁波大学海运学院 |
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| 基金项目： | 国家自然科学基金资助项目 (项目编号 :70 1710 42 ) |
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| 摘 要： | 根据Kohonen神经网络诊断的工作原理、诊断特征，提出了渔船轴系模拟试验台的系统结构和振动监测方法，并通过自行开发的数据采集系统和诊断软件，对故障特征矢量进行识别和诊断。模拟试验证明了Kohonen网络对轴系故障诊断的有效性和准确性。
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| 关 键 词： | Kohonen网络 故障诊断 试验 渔船 轴系结构 |
| 修稿时间： | 2002年1月13日 |
Fault Diagnosis Means and Experiment Based on Kohonen Neural Network |
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| Feng Zhimin,Wang Ying,Hu Zhigang,Lang Haoxiang.Fault Diagnosis Means and Experiment Based on Kohonen Neural Network[J].Transactions of the Chinese Society of Agricultural Machinery,2002,33(6):103-106. |
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| Authors: | Feng Zhimin Wang Ying Hu Zhigang Lang Haoxiang |
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| Institution: | Ningbo University |
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| Abstract: | In this paper the fault diagnosis system based on Kohonen neural network is introduced. The principal, characteristics and mathematical model of this network are studied and it is applied to fault diagnosis system of fisher ship shafting. The structure and principal of a ship shafting simulation test bed are discussed. By using the data acquisition system and developing the software system, the shafting vibration signal and its FFT chart are obtained. Then the frequency chart is analyzed to obtain its eigenvector. The Kohonen neural network is used to identify the eigenvector and conclude the fault reason. A real example authenticates that Kohonen neural network is a meritorious fault diagnosis means of ship shafting. |
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| Keywords: | Neural network Shafting Fault diagnosis Experiment |
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