基于自参考自适应消噪的行星轮轴承内圈故障特征提取

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振动与冲击 ›› 2018, Vol. 37 ›› Issue (17) : 101-106.

论文

贺东台郭瑜伍星刘志琦赵磊

作者信息 +

Fault feature extraction for a planet gear’s bearing inner race based on self-reference adaptive de-noising

HE Dong-tai GUO Yu WU Xing LIU Zhiqi ZHAO Lei

Author information +

文章历史 +

摘要

针对行星轮轴承振动信号的传递时变路径，且行星轮轴承振动信号常被齿轮啮合振动信号所湮没等问题。本文提出一种基于自参考自适应消噪的行星轮轴承内圈故障诊断方法。首先，用自参考自适应消噪技术(SANC)、AR模型预白化等预处理技术以削弱齿轮啮合振动信号的干扰；然后，基于谱峭度（Spectral Kurtosis，SK）自适应求解共振带参数；再采用Hilbert变换提取平方包络信号；最后，对包络信号进行谱分析。试验结果表明该方法可以有效地揭示行星轮轴承内圈的故障特征信息。

Abstract

Aiming at problems of planet gear bearing’s vibration signals having time-varying transmission path and these signals being obliterated by gears meshing vibration signals,a diagnosis method for a planet gear bearing’s inner race faults based on self-reference adaptive de-noising (SRAD) was proposed here. Firstly,the disturbances of gears meshing vibration signals were weakened with the technique of SRAD and the pre-whiten technique of AR model. Then,the resonance band’s parameters were solved adaptively based on the spectral kurtosis approach. Furthermore,the square envelope signal was extracted using Hilbert transformation. Finally,the spectral analysis was conducted for the envelope signal. Test results showed that the proposed method can effectively reveal the fault feature information of planet gear bearing’s inner race.

导出引用

贺东台郭瑜伍星刘志琦赵磊. 基于自参考自适应消噪的行星轮轴承内圈故障特征提取[J]. 振动与冲击, 2018, 37(17): 101-106

HE Dong-tai GUO Yu WU Xing LIU Zhiqi ZHAO Lei. Fault feature extraction for a planet gear’s bearing inner race based on self-reference adaptive de-noising[J]. Journal of Vibration and Shock, 2018, 37(17): 101-106

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