齿轮故障振动信号非高斯性特征趋势分析

周雁冰;柳亦兵;王 峰;姜 锐

振动与冲击 ›› 2014, Vol. 33 ›› Issue (6) : 165-169.

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PDF(1443 KB)
振动与冲击 ›› 2014, Vol. 33 ›› Issue (6) : 165-169.
论文

齿轮故障振动信号非高斯性特征趋势分析

  • 周雁冰1,2,柳亦兵1,王 峰1,3,姜 锐1
作者信息 +

Trend analysis of non-gaussian characteristic for gear fault vibration signals

  • ZHOU Yan-bing1,2,LIU Yi-bing1,WANG Feng1,3,JIANG Rui1
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文章历史 +

摘要

以齿轮箱实测振动信号为对象,对齿轮点蚀故障发展过程深入研究。通过Gabor滤波仅保留振动信号的边带成分与随机成分;据双谱分析结果研究信号非线性、非高斯性变化,并提取非高斯性强度特征值;在故障趋势分析中利用“3σ准则”设定故障阈值。结果表明,非高斯性强度特征值对齿轮点蚀故障较敏感,可揭示故障发展变化趋势,有利于齿轮故障报警及寿命预测,对齿轮传动系统状态监测与故障诊断具有实际意义。

Abstract

Gear pitting fault causes change in non-Gaussian components of vibration signals. This change can be quantitatively described by higher order spectral analysis. Measured vibration signals of the gearbox, and made study on the development process of gear pitting fault in depth. At first retained the sideband components and the random components of vibration signals by using Gabor filter. Secondly analyzed the bispectral results and researched the change of nonlinear non-Gaussian characteristics of vibration signals, then extracted the non-Gaussian intensity characteristic values. At last made the fault trend analysis and set fault threshold value by ‘3σ criterion’. The results show that the non-Gaussian intensity characteristic value is sensitive to gear pitting fault, and it can reveal the trend of fault development. It’s conducive to the failure alarm and life prediction of gears, and has practical significance to condition monitoring and fault diagnosis for gear transmission system.


关键词

点蚀故障 / Gabor滤波 / 非高斯性强度 / 趋势分析 / 3σ准则

Key words

pitting fault / Gabor filtering / non-Gaussian intensity / trend analysis / 3σ criterion

引用本文

导出引用
周雁冰;柳亦兵;王 峰;姜 锐. 齿轮故障振动信号非高斯性特征趋势分析[J]. 振动与冲击, 2014, 33(6): 165-169
ZHOU Yan-bing;LIU Yi-bing;WANG Feng;JIANG Rui. Trend analysis of non-gaussian characteristic for gear fault vibration signals[J]. Journal of Vibration and Shock, 2014, 33(6): 165-169

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