基于小波包分析的气门间隙异常故障诊断

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振动与冲击 ›› 2011, Vol. 30 ›› Issue (12) : 64-68.

论文

基于小波包分析的气门间隙异常故障诊断

司景萍1;任庆霜2; 梁红波2;张宝伟1

作者信息 +

Valve clearance fault detection based on wavelet packet analysis

Si Jing-ping1; Ren Qing-shuang1; Liang Hong-bo2; Zhang Bao-wei1

Author information +

文章历史 +

摘要

以DA462型发动机为研究对象，人为地将气门间隙调整到不同状态来模拟发动机气门间隙异常故障，测取正常和异常情况下的缸盖振动信号，对其进行时域分析，并对振动信号中的燃烧激励响应信号和排气门落座冲击信号进行小波包分解，通过计算各个重构子频带振动能量均方根值（特征值）来判断各激励响应信号的频率带，经特征值比较确定气门间隙异常与否，取得满意的诊断结果。

Abstract

Taking the DA462 engine as the object, this research adjusted the valve clearance artificially to different values to simulate the fault of abnormal engine valve clearance, and obtained cylinder head vibration signals in normal and abnormal states separately, in order to do analysis in time domain. Also, this research decomposes the combustion excitation signals and the exhaust valve shut excitation signals through wavelet packet. The frequency bands of the excitation signals were determined by calculating the Root Mean Square (RMS) values of vibrational energy of reconstruction frequency bands. In order to achieve satisfying results, this research determine whether the valve clearance is normal or not, by comparing the RMS values.

导出引用

司景萍;任庆霜;梁红波;张宝伟. 基于小波包分析的气门间隙异常故障诊断[J]. 振动与冲击, 2011, 30(12): 64-68

Si Jing-ping;Ren Qing-shuang;Liang Hong-bo;Zhang Bao-wei. Valve clearance fault detection based on wavelet packet analysis[J]. Journal of Vibration and Shock, 2011, 30(12): 64-68