| 基于RBF神经网络的柴油机燃油喷射系统的故障诊断 |
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| 引用本文： | 叶泳东,游张平. 基于RBF神经网络的柴油机燃油喷射系统的故障诊断[J]. 机械制造与自动化, 2007, 36(2): 74-75,84 |
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| 作者姓名： | 叶泳东 游张平 |
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| 作者单位： | 丽水学院,机电建工学院,浙江,丽水,323000;丽水学院,机电建工学院,浙江,丽水,323000 |
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| 摘 要： | 以RBF网络为识别模型,对柴油机燃油喷射系统的故障进行训练,并应用于待识别故障样本的识别仿真,结果表明,基于RBF的故障诊断方法优于基于BP网络故障诊断,在柴油机燃油喷射系统故障诊断中是行之有效的方法.
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| 关 键 词： | 径向基函数 故障诊断 柱塞磨损 神经网络 |
| 文章编号： | 1671-5276（2007）02-0074-02 |
| 修稿时间： | 2006-10-13 |
Fault Diagnosis of Fuel Injection System Based on RBF Neural Network |
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| YE Yong-dong,YOU Zhang-ping. Fault Diagnosis of Fuel Injection System Based on RBF Neural Network[J]. Machine Building & Automation, 2007, 36(2): 74-75,84 |
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| Authors: | YE Yong-dong YOU Zhang-ping |
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| Affiliation: | Lishui Institute, Lishui 323000, China |
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| Abstract: | The Radial Basis Function neural network with some fault samples of fuel injection system is trained and the neural network model is applied to identify the samples to be identified. The result indicates that the method is better than the fault diagnosis based on BP neural network and efficiency in the fault diagnosis of fuel injection system. |
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| Keywords: | RBF(radial basis function) fault diagnosis fuel injection system neural network |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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