| 微弱裂纹信号的ICA盲源分离提取 |
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| 引用本文： | 王向红,向建军,尹东.微弱裂纹信号的ICA盲源分离提取[J].长沙理工大学学报(自然科学版),2014(2):74-80. |
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| 作者姓名： | 王向红 向建军 尹东 |
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| 作者单位： | 长沙理工大学汽车与机械工程学院,湖南长沙410004 |
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| 基金项目： | 国家自然科学基金资助项目（51105045）;湖南省教育厅科研资助项目（108005） |
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| 摘 要： | 针对机械设备关键基础部件早期故障信号提取困难这一问题,提出了一种基于独立分量分析(ICA)的盲源分离去噪方法。采用Fixed-point ICA算法和基于负熵的判据,对不同信噪比下金属裂纹信号进行提取。研究结果表明,此方法受噪声强度及信号频段的影响比较小,可有效提取出所需信号;且获得的信号波形失真很小,是一种较好的微弱信号提取方法。
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| 关 键 词： | 微弱信号提取 独立分量分析 盲源分离 |
Extraction of weak crack signals based on ICA |
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| WANG Xiang-hong,XIANG Jian-j un,YIN Dong.Extraction of weak crack signals based on ICA[J].Journal of Changsha University of Science and Technology:Natural Science,2014(2):74-80. |
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| Authors: | WANG Xiang-hong XIANG Jian-j un YIN Dong |
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| Institution: | (School of Automobile and Mechanical Engineering, Changsha University of Science and Technology, Changsha 410004,China) |
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| Abstract: | Aimed at the problem of hardly extraction early crack in critical infrastructure components of major equipments,a blind source separation for weak signals based on inde-pendent component analysis（ICA）is proposed.The Fixed-point ICA algorithm and the neg-ative entropy criterion are used.The metal crack signal with different SNRs is extracted and the results show that this method can extract the weak signal.The method is hardly affected by the SNR and frequency band of signals.And the waveform distortion of the obtained sig-nals is negligible,indicating the method is very suitable for weak signal extraction. |
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| Keywords: | weak signal extraction independent component analysis blind source separation |
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