| RBF网络在电喷发动机故障诊断中的应用 |
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| 引用本文： | 陈振,孙红旗. RBF网络在电喷发动机故障诊断中的应用[J]. 佳木斯大学学报, 2007, 25(1): 35-37 |
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| 作者姓名： | 陈振 孙红旗 |
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| 作者单位： | 佳木斯大学机械工程学院,黑龙江,佳木斯,154007;佳木斯大学机械工程学院,黑龙江,佳木斯,154007 |
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| 摘 要： | 阐述了神经网络的模型、算法和分类,利用电喷发动机实测数据作为学习样本,采用径向基函数神经网络建立发动机的故障诊断模型,通过该模型对电喷发动机的参数进行了辨识,表明RBF网络学习速度很快,适于在线实时监测与诊断.
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| 关 键 词： | 神经网络 故障诊断 电喷发动机 |
| 文章编号： | 1008-1402（2007）01-0035-03 |
| 收稿时间： | 2006-11-12 |
| 修稿时间： | 2006-11-12 |
Application Research of a Radial Basis Function Neural Network to Fault Diagnosis of Electronic Ejection Engine |
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| CHEN Zhen,SUN Hong-qi. Application Research of a Radial Basis Function Neural Network to Fault Diagnosis of Electronic Ejection Engine[J]. Journal of Jiamusi University(Natural Science Edition), 2007, 25(1): 35-37 |
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| Authors: | CHEN Zhen SUN Hong-qi |
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| Affiliation: | College of Mechanical Engineering,Jiamusi University,Jiamusi 154007,China |
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| Abstract: | A model of electronic ejection engine fault diagnosis based on RBF network has been set up by using measured from fixed-check as learning example.Measured electronic ejection engine parameters have been differentiated with this model.It demonstrates that the learning rate of RBF neural net work is rapid,and on-line monitoring and diagnosis are feasible. |
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| Keywords: | neural network fault diagnosis electronic ejection engine |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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