基于时间-小波能量谱的齿轮故障诊断

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振动与冲击 ›› 2011, Vol. 30 ›› Issue (1) : 157-161.

论文

基于时间-小波能量谱的齿轮故障诊断

张进1;冯志鹏2;褚福磊1

作者信息 +

FAULT DIAGNOSIS OF GEARS BASED ON TIME-WAVELET ENERGY SPECTRUM

Zhang Jin1;Feng Zhipeng2;Chu Fulei1

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文章历史 +

摘要

振动信号中的冲击现象及其频率特征是诊断齿轮局部损伤故障的重要依据之一。针对齿轮故障特征提出了一种时间-小波能量谱信号处理方法，它能够有效提取振动信号中冲击成分的时域和频域特征。利用时间-小波能量谱方法分析了正常、磨损、断齿等三种状态的齿轮箱振动信号，并与传统频谱分析方法进行相比。结果表明：时间-小波能量谱不仅可以有效提取故障特征，识别出齿轮箱的故障存在，而且可以清晰地分辨出故障类型及故障元件。

Abstract

The impulses in vibration signals and their spectral features are important in diagnosing localized damage of gears. A new method, so called time-wavelet energy spectrum, is proposed for gear fault diagnosis. It can extract the feature of impulses in both time domain and frequency domain. It is applied to analyzing the vibration signals of a gearbox under normal, worn and tooth broken statuses. The comparison with traditional spectral analysis shows that: the time-wavelet energy spectrum is effective in extracting the impulse features produced by localized gear damage, and thereby in recognizing and locating the gear faults.

导出引用

张进;冯志鹏;褚福磊. 基于时间-小波能量谱的齿轮故障诊断[J]. 振动与冲击, 2011, 30(1): 157-161

Zhang Jin;Feng Zhipeng;Chu Fulei. FAULT DIAGNOSIS OF GEARS BASED ON TIME-WAVELET ENERGY SPECTRUM[J]. Journal of Vibration and Shock, 2011, 30(1): 157-161