第二代小波分析在齿轮故障诊断中的研究  

THE SECOND GENERATION WAVELET ANALYSIS IN THE DIAGNOSIS OF GEAR FAULT RESEARCH

作　　者：陈玉峰[1] 

机构地区：[1]呼和浩特职业学院机电工程学院,呼和浩特010070

出　　处：《内蒙古农业大学学报（自然科学版）》2011年第4期220-223,共4页Journal of Inner Mongolia Agricultural University(Natural Science Edition)

摘　　要：针对齿轮箱早期故障出现的微弱特征,文章引入了第二代小波用于齿轮箱的故障诊断研究。基于插值细分原理,构造了预测算子和更新算子,并针对边界计算中出现的信号突变问题,采用了一阶平滑边界延拓技术,解决了重构后信号的平滑问题。选取故障早期特征所对应的频带进行单支重构,再用相关分析对微弱故障信号进行降噪,最后利用Hilbert技术进行解调,有效的提取了齿轮箱旋转轴的一倍二倍频,说明齿轮箱此时已经出现了故障隐患。According to the weak features of early gearbox failures,this paper introduced the second generation wavelet for the gearbox fault diagnosis.Based on interpolating subdivision principle,the structure prediction operator and update operator,and in the boundary of the signal mutations,using a smooth boundary extension order,resolved the reconstructed signal smoothing problems.Select characteristics of the early failure of the bands corresponding to a single reconstruction,and then weak correlation analysis on the fault signal noise,the final use of Hilbert demodulation techniques,effective extraction gear Box rotation axis of the frequency doubling,the gear box at this time there have been failures hidden dangers.

关 键 词：插值细分 解调 第二代小波分析 

分 类 号：TH17[机械工程—机械制造及自动化]