| 基于神经网络的柴油机故障诊断方法 |
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| 引用本文： | 周红晓.基于神经网络的柴油机故障诊断方法[J].计算机测量与控制,2003,11(7):490-491,495. |
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| 作者姓名： | 周红晓 |
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| 作者单位： | 金华职业技术学院,经贸学院,浙江,金华,321007 |
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| 摘 要： | 提出了一种基于三层BP网络的柴油机故障诊断模型，给出了一种基于黄金分割法的变步长学习算法。仿真结果表明，该算法比标准BP算法具有更快的学习速度，完全适用于柴油机故障诊断系统。
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| 关 键 词： | 柴油机 故障诊断 神经网络 黄金分割法 模式识别 |
| 文章编号： | 1671-4598(2003)07-0490-02 |
Diesel Fault Diagnosis Method Based on Neural Network Theory |
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| ZHOU Hong,xiao.Diesel Fault Diagnosis Method Based on Neural Network Theory[J].Computer Measurement & Control,2003,11(7):490-491,495. |
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| Authors: | ZHOU Hong xiao |
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| Abstract: | A diesel engine fault diagnosis model based on three-layer BP network is put forward, an step-changing learning algorithm based on gold-segmentation is given. The simulation result shows that the algorithm has much faster learning speed compared with the standard BP algorithm. It is entirely practicable in diesel fault diagnosis system. |
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| Keywords: | neural networks BP algorithm diesel engine fault diagnosis |
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