| 小波变换在切削颠振特征提取中的应用 |
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| 引用本文： | 江涌涛,张春良,胡耀斌,张学文. 小波变换在切削颠振特征提取中的应用[J]. 中国测试技术, 2006, 32(3): 7-8,15 |
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| 作者姓名： | 江涌涛 张春良 胡耀斌 张学文 |
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| 作者单位： | 南华大学机械工程学院,湖南,衡阳,421001 |
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| 基金项目： | 国家高技术研究发展计划(863计划);湖南省教育厅青年基金 |
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| 摘 要： | 本文利用小波变换的多分辨率特性,首先对切削颤振信号进行小波分解,然后通过主成分分析法对特征小波进行重构,再对重构信号进行特征提取,从而有效地解决了课题基于隐马尔可夫模型（HMM）切削颤振预报的特征提取问题.文章还提出了从时域基于功率分析对颤振信号进行特征提取的新方法,为切削颤振的特征提取提供了新的模式样本.
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| 关 键 词： | 小波变换 切削颤振 特征提取 多分辨率 主成分分析法 |
| 文章编号： | 1672-4984（2006）03-0007-02 |
| 收稿时间： | 2005-07-11 |
| 修稿时间： | 2005-07-112005-09-24 |
Application of wavelet transform in extracting characteristics of cutting chatter |
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| JIANG Yong-tao,ZHANG Chun-liang,HU Yao-bin,ZHANG Xue-wen. Application of wavelet transform in extracting characteristics of cutting chatter[J]. China Measurement Technology, 2006, 32(3): 7-8,15 |
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| Authors: | JIANG Yong-tao ZHANG Chun-liang HU Yao-bin ZHANG Xue-wen |
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| Affiliation: | College of Mechanical Engineering, Nanhua University, Hengyang 421001, China |
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| Abstract: | This article effectively solves the characteristic extracting problem of the subject-predlctlon of the cutting chatter based on Hidden Markov Model,Firstly decomposing the cutting chatter signal and using the principal composition analysis method to reconstruct a signal from the feature wavelet, next extracting the characteristic from the reconstructed signal. It proposes a new method of characteristic extracting for chatter signal in time domain based on power analysis and provides a new sampling model to the characteristic extracting of cutting chatter. |
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| Keywords: | Wavelet tnmsform Cutting chatter Characteristic extracting Multi-resolvability Principal composition analysis method |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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