基于自参考自适应消噪的行星轮轴承内圈故障特征提取  

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

作　　者：贺东台 郭瑜[1] 伍星[1] 刘志琦 赵磊 HE Dongtai;GUO Yu;WU Xing;LIU Zhiqi;ZHAO Lei(Key Lab of Vibration&Noise under Ministry of Education of Yunan Province,Faculty of Mechanical and Electrical Engineering,Kunming University of Science and Technology,Kunming 650500,China)

机构地区：[1]昆明理工大学机电工程学院云南省高校振动与噪声重点实验室,昆明650500

出　　处：《振动与冲击》2018年第17期101-106,共6页Journal of Vibration and Shock

基　　金：国家自然科学基金资助项目(51365023;51675251)

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。提出了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。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;基于谱峭度(Spectral Kurtosis,SK)自适应求解共振带参数;采用Hilbert变换提取平方包络信号;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。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.

关 键 词：行星齿轮箱 行星轮轴承 自适应自参考噪声消除 包络分析 

分 类 号：TH132.425[机械工程—机械制造及自动化]