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基于频域盲解卷积的齿轮箱复合故障声学诊断
引用本文:潘 楠 伍 星 迟毅林 柳小勤 刘 畅. 基于频域盲解卷积的齿轮箱复合故障声学诊断[J]. 振动与冲击, 2013, 32(7): 146-150. DOI:  
作者姓名:潘 楠 伍 星 迟毅林 柳小勤 刘 畅
作者单位:昆明理工大学机电工程学院,昆明 650093
摘    要:针对复杂声场环境中齿轮箱复合故障特征的提取,提出了一种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,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了算法的有效性。论文最后指出了未来需要进一步研究的主要问题。

关 键 词:频域盲解卷积  齿轮箱  复合故障  声学诊断  
收稿时间:2011-12-15
修稿时间:2012-04-16

Gear Box Combined Failure Acoustical Diagnosis based on Frequency Domain Blind Deconvolution
PAN Nan WU Xing CHI Yi-lin LIU Xiao-qin LIU Chang. Gear Box Combined Failure Acoustical Diagnosis based on Frequency Domain Blind Deconvolution[J]. Journal of Vibration and Shock, 2013, 32(7): 146-150. DOI:  
Authors:PAN Nan WU Xing CHI Yi-lin LIU Xiao-qin LIU Chang
Affiliation:Faculty of Mechanical & Electrical Engineering, Kunming University of Science & Technology Kunming, 650093, P.R. China
Abstract:According to gear box combined failure extraction in complex sound field, an acoustic fault detection method based on frequency domain blind deconvolution was proposed. Follow the frequency-domain blind deconvolution flow, the morphological filtering was firstly used to extract modulation features embedded in the observed signals, then the CFPA algorithm was employed to do complex-domain blind separation, finally the J-divergence of complex independent components were employed as distance measure to resolve the permutation. Experiments using simulated and real machine sound signals were carried out. The results demonstrate this algorithm can be efficiently applied to gear box combined failure detection in practice. Finally, the main problems which need to be studied further in this area were pointed out.
Keywords:Frequency-domain blind deconvolution  Gear box  Combined failure  Acoustical diagnosis
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