| 融合经验模态分解与时频分析的单通道振动信号分离研究 |
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| 引用本文： | 李 强,付 聪,江 虹,彭先敏.融合经验模态分解与时频分析的单通道振动信号分离研究[J].振动与冲击,2013,32(5):122-126. |
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| 作者姓名： | 李 强 付 聪 江 虹 彭先敏 |
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| 作者单位： | 1.西南科技大学 信息工程学院，四川绵阳 621010 2.中国空气动力研究与发展中心，四川绵阳 621000 |
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| 摘 要： | 通过单通道振动信号分离研究探讨机械振动源信号提取问题。采用集合经验模态分解方法将单通道信号构造成多通道信号，再通过主分量分析方法得到多通道构造信号的特征值分布情况并以此进行源信号数目估计，进而利用基于时频分析的盲源分离技术获取振动源信号。实验表明，该方法能有效实现单通道振动信号分离，具有较强实际应用价值。
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| 关 键 词： | 振动信号 经验模态分解 时频分析 盲源分离 |
| 收稿时间： | 2011-12-20 |
| 修稿时间： | 2012-2-29 |
The single-channel vibration signal separation by combining the empirical mode decomposition with time-frequency analysis |
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| LI Qiang,FU Cong,JIANG Hong,PENG Xian-min.The single-channel vibration signal separation by combining the empirical mode decomposition with time-frequency analysis[J].Journal of Vibration and Shock,2013,32(5):122-126. |
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| Authors: | LI Qiang FU Cong JIANG Hong PENG Xian-min |
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| Affiliation: | 1. School of Information Engineering, Southwest University of Science and Technology, Sichuan Mianyang 621010, China2. China Aerodynamics Research and Development Center, Sichuan Mianyang 621000, China |
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| Abstract: | The separation method of single-channel vibration signal was explored to accomplish the extraction of mechanical vibration source signals. The ensemble empirical mode decomposition technology was utilized to construct the pseudo multi-channel measurement signals. The principal component analysis method was used to determine the number of vibration source signals by the distribution of eigenvalues. Then, the blind source separation algorithm based on time-frequency analysis was implemented to acquire the vibration source signals. Experiments showed that the single-channel vibration signal could be effectively separated. The proposed method is feasible and practical. |
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| Keywords: | Vibration signal Empirical mode decomposition Time-frequency analysis Blind source separation |
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