摘要
针对经验模式分解(EMD)容易出现模式混叠的缺点,提出了基于辅助白噪声的集成经验模式分解方法(EEMD),实现非平稳振动信号的降噪。对比研究了2种方法的降噪原理与性能。结果表明,EEMD不仅具有更高的信噪比、消除模式混叠,更能充分保留信号本身固有的非平稳特性,而且得到的IMF分量也具有明显的实际物理意义。
Aim at Empirical Mode Decomposition prone to mode mixing, Ensemble Empirical mode decomposition based on white noise was put forward to achieve denoising of unsteady vibration signals. Compare two arithmetic principle and performance. The comparison results show that EEMD not only has higher SNR （signal to Noise Ratio） and avoids mode mixing, but also keep stationary character in itself fully, and IMF component obtained has obvious practical physical significance.
出处
《煤矿机械》
北大核心
2012年第9期278-280,共3页
Coal Mine Machinery
