摘要
本文提出一种改进的基于经验模态分解(EMD)的降噪方法.由小波包降噪,相关系数原理及选撵不同消失矩的db系小波降噪与EMO分解结合在一起的改进方法.这种改进方法增强了对原始信号的降噪效果。并以齿轮箱为研究对象.对轴承外圈裂纹故障信号进行了诊断.获得很好的诊断效果。
This paper raises an improved noise reduction method based on empirical mode decomposition （EMD）, which combined with the method of wavelet packet noise reduction, correlation coefficient principle and choosing a different vanishing moments db wavelet noise reduction with EMD, and it can enhance the noise reduction effect of the original signal. This article diagnoses the fault signals in the outer ring bearing aims at gearbox and obtains a very good diagnostic effect.
关键词
齿轮箱
经验模态分解(EMD)
故障诊断
小波包降噪
Gearbox Empirical mode decomposition （EMD） Fault diagnosis Wavelet package denoising
