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基于小波分析与气缸压力的气门故障诊断
引用本文:夏勇,张振仁,商斌梁,薛模根,郭明芳.基于小波分析与气缸压力的气门故障诊断[J].内燃机工程,2001,22(1):23-27,31.
作者姓名:夏勇  张振仁  商斌梁  薛模根  郭明芳
作者单位:西安第二炮兵工程学院,
摘    要:将小波分析引入气缸压力的分析与研究,对其进行二进小波分解,计算分解后尺度1上信号各频带的能量百分比,从中获得诊断特征量,从而对气门间隙进行故障诊断。结果表明用小波分析处理气缸压力信号较FFT更有效,作者采用的诊断方法与特征量是有效和可行的。

关 键 词:小波分析  气门  故障诊断  内燃机  气缸压力
文章编号:1000-0925(2001)01-023-05

Fault Diagnosis for the Valve Train Based on Wavelet Analysis and Cylinder Pressure
Xia Yong,Zhang Zhenren,Shang Binliang,Xue Mogen,Guo Minfang.Fault Diagnosis for the Valve Train Based on Wavelet Analysis and Cylinder Pressure[J].Chinese Internal Combustion Engine Engineering,2001,22(1):23-27,31.
Authors:Xia Yong  Zhang Zhenren  Shang Binliang  Xue Mogen  Guo Minfang
Abstract:The wavelet analysis was applied to analyze and study the cylinder pressure. After cylinder pressure signal wave decomposed with dyadic wavelet. Energy percentages of various frequency bands of the decomposed signal on scale 1 were computed, from which the diagnosis characteristics were extracted to recognize valve gaps. The results show that the method to analyze cylinder pressure signals with dyadic wavelet is more effective then the FFT fault diagnisis method and characteristics presented in this paper are effective and feasible.
Keywords:Wavelet Analysis  Valve  Fault Diagnosis  Internal Combustion Engine
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