| 机车故障诊断中征兆隶属度函数的研究 |
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| 引用本文： | 王冰泉,谢维达.机车故障诊断中征兆隶属度函数的研究[J].电力机车与城轨车辆,2004,27(6):9-11. |
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| 作者姓名： | 王冰泉 谢维达 |
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| 作者单位： | 1. 同济大学,电子信息工程学院,上海,200331
2. 同济大学铁道与城市轨道交通研究院,上海,200331 |
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| 摘 要： | 研究了应用模糊神经网络进行机车故障诊断时一种征兆隶属度向量提取的方法。结合机车运行的特点,分析机车控制的规律和特性,提出了切实可行的隶属度函数确定方法,解决了模糊神经网络在机车故障诊断中应用的一个瓶颈。
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| 关 键 词： | 模糊神经网络 电力机车 在线故障诊断 隶属度向量 |
| 文章编号： | 1672-1187(2004)06-0009-03 |
Function of membership grade used for fault diagnosis of electric locomotives |
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| WANG Bing-quan ,XIE Wei-da.Function of membership grade used for fault diagnosis of electric locomotives[J].Electric Locomotives & Mass Transit Vehicles,2004,27(6):9-11. |
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| Authors: | WANG Bing-quan XIE Wei-da |
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| Institution: | WANG Bing-quan 1,XIE Wei-da 2 |
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| Abstract: | A method to get the function of grade of membership is studied in this paper while FNN(Fuzzy NeuralNetwork) is applied in on-line fault diagnosis system of electric locomotive. Considering with the specialty of electric locomotive,the rules and characteristics of the control are analyzed. A doable means to find the vectors of grade of membership is brought forward. One trouble of the application of FNN to the fault diagnosis of electric locomotive is solved. |
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| Keywords: | Fuzzy Neural Network electric locomotive on-line fault diagnosis vector of grade of membership |
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