基于小波-VMD-Teager能量算子的滚动轴承微弱故障诊断  

A Bearing Weak Fault Diagnosis Method Based on Wavelet-VMD-Teager Energy

作　　者：许午珍 崔立 任德余 徐卫责 时大方 XU Wuzhen;CUILi;REN Deyu;XU Weize;SHI Dafang(College of Engineering.Shanghai Polytechnic University,Shanghai 201209;Technology Center,Zhejiang Tianma Bearing Group Co,Ltd,Deqing 313200,Huzhou,China)

机构地区：[1]上海第二工业大学工学部,上海201209 [2]浙江天马轴承集团有限公司技术中心,德清313200

出　　处：《上海第二工业大学学报》2020年第3期200-206,共7页Journal of Shanghai Polytechnic University

基　　金：国家自然科学基金项目(51675323);上海市自然科学基金(20ZR1421000)资助。

摘　　要：针对滚动轴承的单一故障进行诊断,提出了将小波VMD-Teager能量算子相结合和小波CEEMD-Teager能量算子相结合的诊断方法。对于滚动轴承的故障信号首先是进行小波降噪,使用VMD分解得到IMF分量,利用峭度和相关系数的大小选择合适的IMF分量,进行重构。通过对重构的IMF进行Teager能量算子包络解调处理,最后可以得到不同故障程度的轴承故障的特征频率。对比VMD处理和CEEMD处理得到的故障信号包络图,利用实验数据验证表明, VMD处理能更有效提取滚动轴承的单一故障微弱特征。In order to diagnose the single fault of rolling bearing, a new method combining wavelet VMD-Teager energy operator and wavelet CEEMD-Teager energy operator is proposed. For the fault signal of rolling bearing, firstly, wavelet denoising is carried out,IMF component is obtained by VMD decomposition, and appropriate IMF component is selected by kurtosis and correlation coefficient for reconstruction. Through the teager energy operator envelope demodulation of the reconstructed IMF, the characteristic frequencies of bearing faults with different fault degrees can be obtained. Compared with the fault signal envelopment diagram obtained by VMD treatment and CEEMD treatment, the experimental data verify that VMD treatment can more effectively extract the weak features of single fault of rolling bearing.

关 键 词：变分模态分解 TEAGER能量算子 滚动轴承 故障诊断 

分 类 号：TH133.3[机械工程—机械制造及自动化]