基于频域盲解卷积的齿轮箱复合故障声学诊断  

Acoustical diagnosis for gear box combined failures based on frequency domain blind deconvolution

作　　者：潘楠[1] 伍星[1] 迟毅林[1] 柳小勤[1] 刘畅[1] 

机构地区：[1]昆明理工大学机电工程学院,昆明650093

出　　处：《振动与冲击》2013年第7期146-150,共5页Journal of Vibration and Shock

基　　金：国家自然科学基金资助项目(50805071);云南省应用基础研究计划项目(2011FZ017);云南省教育厅科学研究基金资助项目(2011J078)

摘　　要：针对复杂声场环境中齿轮箱复合故障特征提取,提出基于频域盲解卷积的声学诊断方法。该方法通过形态滤波滤除非调制信号,结合改进复数固定点算法优选复独立分量,进而通过复独立分量J-散度解决独立分量间次序不确定性问题。通过计算机仿真及实际环境下齿轮箱复合故障声信号提取实验验证该算法的有效性。Aiming at gear box combined failure feature extraction in complex sound field, an acoustic fault detection method based on the frequency domain blind deconvolution was proposed. According to the frequency-domain blind deconvolution, the morphological filtering was firstly used to extract modulated features embedded in the observed signals, then the CFPA algorithm was employed to do complex-domain blind separation, finally the J-divergences of complex independent components were taken as distance measures to resolve the permutation. Tests using simulated and real machine sound signals were conducted. The results demonstrated that this proposed method can be efficiently applied to gear box combined failure detection in practice. Finally, the main problems to be studied further in this area were pointed out.

关 键 词：频域盲解卷积 齿轮箱 复合故障 声学诊断 

分 类 号：TH165.3[机械工程—机械制造及自动化]