| 神经网络在内燃机故障诊断中的应用研究 |
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| 引用本文： | 夏勇,商斌梁,张振仁,薛模根,郭明芳.神经网络在内燃机故障诊断中的应用研究[J].机械科学与技术(西安),2000,19(Z1):108-110. |
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| 作者姓名： | 夏勇 商斌梁 张振仁 薛模根 郭明芳 |
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| 作者单位： | 夏勇（第二炮兵工程学院，西安 710025）;商斌梁（第二炮兵工程学院，西安 710025）;张振仁（第二炮兵工程学院，西安 710025）;薛模根（第二炮兵工程学院，西安 710025）;郭明芳（第二炮兵工程学院，西安 710025） |
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| 摘 要： | 运用小波分析对柴油机缸盖振动信号进行分析与讨论，计算二进小波分解后尺 度１信号在各个时间段内的能量百分比，最后将此能量比作为神经网络的输入进行 训练，得到故障诊断识别网络，取得了较好的故障诊断效果。
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| 关 键 词： | 神经网络 振动 故障诊断 小波分析 能量百分比 |
| 文章编号： | 1003-8728(2000)ZK-0108-03 |
| 修稿时间： | 2000年4月1日 |
Application of Neural Networks to the Diagnosis of Internal Combustion Engines |
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| XIA Yong,SHANG Bin-liang,ZHANG Zhen-ren,XUE Mo-gen,GUO Min-fang.Application of Neural Networks to the Diagnosis of Internal Combustion Engines[J].Mechanical Science and Technology,2000,19(Z1):108-110. |
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| Authors: | XIA Yong SHANG Bin-liang ZHANG Zhen-ren XUE Mo-gen GUO Min-fang |
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| Abstract: | Vibration signal measured on cylinder head was analyzed and processed with wavelet analysis. The energy distribution in time domain of different scales has a certain principle. According to the air-matching of 6135G diesel, signals of different scales were divided into 6 segments. Energy percentage was computed. Finally, the neural network was trained with the energy percentage as the ideal input and with the codes of fault states as the ideal output. After the neural network was successfully trained, it can be used to diagnose valve faults. The results show that this method can be used to diagnose valve more effectively and more concisely. |
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| Keywords: | Neural Networks Vibration Fault Diagnosis Wavelet analysis Energy Percentage |
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