| 基于小波分析与神经网络的柴油机气阀间隙识别 |
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| 引用本文： | 叶高,腾宪斌.基于小波分析与神经网络的柴油机气阀间隙识别[J].机械研究与应用,2010,23(2):9-11. |
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| 作者姓名： | 叶高 腾宪斌 |
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| 作者单位： | 1. 中海油能源发展监督监理技术公司,天津,300452
2. 天津海运职业学院,天津,300452 |
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| 摘 要： | 通过对柴油机气阀间隙的调整,实时监测缸盖的振动信号,运用小波分析法对振动信号进行分析,提取柴油机气阀间隙异常的多个特征参数,并采用BP神经网络对气阀间隙进行识别,以此提高诊断故障的针对性和准确性。
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| 关 键 词： | 柴油机 气阀间隙 小波分析 神经网络 |
Diesel engine valve clearances identifying based on wavelet analysis and neural network |
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| Ye Gao,Teng Xian-bin.Diesel engine valve clearances identifying based on wavelet analysis and neural network[J].Mechanical Research & Application,2010,23(2):9-11. |
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| Authors: | Ye Gao Teng Xian-bin |
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| Affiliation: | 1.CNOOC energy technology & services limited supervision & technology Co./a>;Tianjin 300452/a>;China/a>;2.Tianjin maritime vocational institute/a>;China |
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| Abstract: | Through adjusting valve clearances of diesel engine and the cylinder cover vibration signals are measured at the same time. These signals are analyzed by using wavelet analysis method. To pick up those abnormal character parameters and to identify the valve clearance by using BP neural network,that can improve the accuracy and pertinency of the fault diagnosis. |
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| Keywords: | diesel engine valve clearances wavelet analysis neural network |
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