电子测量与仪器学报

代绍铖,郭瑜,陈鑫,林云.基于谱相干滤波冲击增强的轴承故障诊断[J].电子测量与仪器学报,2021,35(5):55-61

基于谱相干滤波冲击增强的轴承故障诊断

Fault diagnosis of rolling element bearing using MOMEDAimpact enhancement based on spectral correlation filtering

DOI：

中文关键词: 快速谱相干优化特征改进包络谱冲击增强多点优化最小熵反褶积滚动轴承

英文关键词:fast spectral correlation IESFO impact enhancement MOMEDA rolling element bearing

基金项目:国家自然科学基金(51675251)、云南省重点领域科技计划（202002AC080001）项目资助

作者	单位
代绍铖	1.昆明理工大学机电工程学院
郭瑜	1.昆明理工大学机电工程学院
陈鑫	1.昆明理工大学机电工程学院
林云	1.昆明理工大学机电工程学院

Author	Institution
Dai Shaocheng	1.Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology
Guo Yu	1.Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology
Cheng Xin	1.Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology
Ling Yun	1.Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology

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中文摘要:

针对优化特征改进包络谱(IESFO)存在早期故障弱特征提取能力较弱和对频率分辨率要求较高的不足,提出了基于谱相干滤波冲击增强的轴承故障特征提取方法。首先使用 IESFO 算法选取优化解调频带并进行带通滤波;然后对滤波后信号使用多点优化最小熵反褶积(MOMEDA)算法增强信号中轴承故障产生的冲击;最后进行包络分析。基于实测信号的研究结果表明,和现有方法相比,本方法在轴承性能退化过程中可以提前提取到轴承早期故障信息,且可用于提取滚动轴承复合故障信息。关键词: 快速谱相干;优化特征改进包络谱;冲击增强;多点优化最小熵反褶积;滚动轴承

英文摘要:

To further improve the newly proposed improved envelope spectrum via feature optimisation-gram ( IESFO), which may be invalid on early fault weak faulty characteristic extraction of rolling elements bearing and required high frequency resolution, the MOMEDA impact enhancement based on spectral correlation filtering is proposed to extract the fault characteristics of rolling element bearing. Firstly, the optimized demodulation frequency band is determined by IESFO algorithm for band-pass filtering. Then, the impact of bearing failure of the filtered signal is enhanced by the multipoint optimal minimum entropy deconvolution adjusted ( MOMEDA) algorithm. Finally, envelope analysis is performed. The research results based on actual measured signals show that the proposed method can detect the incipient fault information of bearings earlier than most existing methods during the performance degradation process of rolling elements bearing. Another, the proposed method can also be utilized to extract the characteristic frequency of bearing fault under compound fault condition.

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