多小波预处理方法用于滚动轴承故障信号的去噪效果分析

Multiwavelet Preprocessing Method Applied to Denoising Effect Analysis of Rolling Bearing Fault Signals

针对不同预处理方法对多小波的影响问题,探讨了基于不同预处理方法的多小波对滚动轴承信号去噪效果的影响。通过仿真实验,先对GHM多小波、CL4多小波和SA4多小波进行重复行预处理、逼近预处理和平衡多小波处理,并将处理后的多小波应用于滚动轴承故障信号的去噪效果分析中。结果表明:经过平衡多小波预处理的CL4多小波在滚动体故障信号、内圈故障信号、外圈故障信号中的效果最好,相对于经过其他预处理方法处理的多小波的处理效果有明显优势。

Aimed at the influence of various pretreatment methods on the multiwavelet, the effect of multiwavelet transform on the signal denoising of the rolling bearing was discussed. Through the simulation experiment, the rolling bearing fault signal denoising effects of repeated line preprocessing, approximation preprocessing and balanced multiwavelet processing of GHM multiwavelet, CL4 multiwavelet and SA4 multiwavelet were implemented, including having the processed multiwavelet applied to analyze the denoising effect of rolling bearing fault signals. The results show that, the CL4 multiwavelet balanced by preprocessing works better in denoising the fault signal of rolling body, inner ring and the outer ring and it outperforms other multiwavelet preprocessing methods.