齿轮故障振动信号非高斯性特征趋势分析

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

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。

Gear pitting fault causes change in non-Gaussian components of vibration signals.This change can be quantitatively described by higher order spectral analysis.With measured vibration signals of a gearbox,the development process of gear pitting fault was investigated in depth.By Gabor filtering,the sideband components and the random components of vibration signals were retained.According to the bispectral analysis results,the change of nonlinear non-Gaussian characteristics of vibration signals was studied and the non-Gaussian intensity characteristic values were then extracted.The fault trend analysis was carried out and the fault threshold value was set in accordance with the ’3σcriterion’.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 of gear transmission system.