作者：江涌涛, 张春良, 胡耀斌, 张学文

作者单位：南华大学机械工程学院, 湖南 衡阳 421001

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

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。

Application of wavelet transform in extracting characteristics of cutting chatter

JIANG Yong-tao, ZHANG Chun-liang, HU Yao-bin, ZHANG Xue-wen

College of Mechanical Engineering, Nanhua University, Hengyang 421001, China

Abstract: This article effectively solves the characteristic extracting problem of the subject-prediction 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.

Keywords: Wavelet transform; Cutting chatter; Characteristic extracting; Multi-resolvability; Principal composition analysis method

2006, 32(3): 7-8,15  收稿日期: 2005-7-11;收到修改稿日期: 2005-9-24

基金项目: 国家自然科学基金资助项目(50375070);湖南省教育厅优秀青年项目(01B018)

作者简介: 江涌涛(1982-),男,湖南邵阳人,硕士研究生,主要从事机械制造与振动控制等研究。

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