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

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.