基于线调频小波路径追踪算法与EEMD的齿轮箱复合故障诊断方法  

A compound fault diagnosis method for gearboxs based on chirplet path pursuit and EEMD

作　　者：李蓉[1] 于德介[1] 陈向民[1] 刘坚[1] 

机构地区：[1]湖南大学汽车车身先进设计制造国家重点实验室,长沙410082

出　　处：《振动与冲击》2014年第3期51-56,62,共7页Journal of Vibration and Shock

基　　金：湖南省科技计划资助(2012SK3184);广东省省部产学研结合项目(2009B090300312);高等学校博士学科点专项科研基金(20090161110006)资助项目

摘　　要：针对变转速下的齿轮箱中复合故障的故障特征提取,提出一种基于线调频小波路径追踪算法与集合经验模式分解的齿轮箱复合故障诊断方法。该方法先用线调频小波路径追踪算法从原始振动信号中提取转频曲线,根据转频曲线对原始振动信号进行等角度重采样,将时域信号转化为角域信号,再对角域重采样信号进行集合经验模式分解,根据相关系数选取合适的内禀模态函数,最后对所选取的内禀模态函数分量进行Hilbert包络谱分析,根据包络谱进行齿轮箱复合故障诊断。通过算法仿真和应用实例对包含齿轮局部故障和轴承局部故障的变转速齿轮箱复合故障进行分析,结果表明,该方法在无转速计的情况下能有效地提取变转速齿轮箱复合故障的特征。Aiming at the problem of extracting fault characteristics from a gearbox with compound faults under a condition of changing rotating speed,a compound fault diagnosis method for gearboxs based on chirplet path pursuit and ensemble empirical mode decomposition （EEMD）was proposed.Using the proposed method,the rotating speed was estimated from an original vibration signal with chirplet path pursuit algorithm.In order to transform a time domain signal to an angular domain one,the even angle resampling was performed to the original signal according to the obtained rotating speed.The angular domain resampled signal was decomposed with EEMD,and the suitable intrinsic mode function （IMF）was selected according to the correlation coefficient.The selected IMF was analyzed with Hilbert envelope spectrum and the compound fault diagnosis of the gearbox was executed according to the envelope spectrum.The results obtained with algorithm simulations and application examples of a gearbox with compound faults including gear local faults and bearing local faults under the condition of changing rotating speed showed that the proposed method can effectively extract fault characteristics from a gearbox with compound faults.

关 键 词：线调频小波 阶次跟踪 集合经验模式分解 齿轮箱 复合故障 

分 类 号：TH113.1[机械工程—机械设计及理论] TH165.3