摘要
通过正常工况下的转子位移信号,分析不同幅值噪声对经验模式分解(EMD)分解的影响。对于幅值较小的随机噪声,EMD分解可以自适应地将主要特征信息从噪声中分解出来。而对于幅值较大的噪声,小波降噪的EMD分解则可以有效避免模态间能量泄漏,从而得到准确的分析结果。
The influence of different amplitude noise of the normal rotor displacement signal upon the empirical mode decomposition（EMD）is analyzed.The authors concluded that if the signal is polluted by weak amplitude random noise,the method can distinguish its main feature information from noise self-adapting;but if the signal is polluted by high amplitude noise,the EMD method based on wavelet noise reduction can avoid mode aliasing effectively,therefore the more accurate analysis result can be obtained.
出处
《船海工程》
2010年第2期30-32,共3页
Ship & Ocean Engineering
关键词
经验模式分解
小波降噪
模态混叠
empirical mode decomposition（EMD）
wavelet noise reduction
mode alasing
