| 基于小波降噪的经验模式分解方法研究 |
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| 引用本文： | 林瑞霖,孙云岭,孟祥东.基于小波降噪的经验模式分解方法研究[J].船海工程,2010,39(2). |
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| 作者姓名： | 林瑞霖 孙云岭 孟祥东 |
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| 作者单位： | 1. 海军工程大学,船舶与动力学院,武汉,430033
2. 中国人民解放军92730部队技术监测室,海南,三亚,572016 |
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| 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。
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| 关 键 词： | 经验模式分解 小波降噪 模态混叠 |
Research on the EMD Method Based on Wavelet Noise Reduction |
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| Authors: | LIN Rui-lin SUN Yun-ling MENG Xiang-dong |
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| Institution: | LIN Rui-lin1,SUN Yun-ling1,MENG Xiang-dong2(1 School of Naval Architecture , Power,Naval University of Engineering,Wuhan 430033,China,2 The Technology Monitoring Department of PLA 92370th Army,Sanya Hainan 572016,China) |
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| Abstract: | 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. |
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| Keywords: | empirical mode decomposition(EMD) wavelet noise reduction mode alasing |
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