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小波降噪在轴心轨迹特征提取中的应用
Wavelet denoising and its application in extraction of shaft centerline orbit features
【摘要】 旋转机械的轴心轨迹包含着丰富的反映其运行状态的信息,但由于各种噪声的干扰,实测的轴心轨迹往往非常混乱,以致难以从中获得有用的信息.利用小波及小波包分解与重建以及小波变换模极大值随尺度变化时截然不同的性质来实现轴心轨迹消噪结果表明利用小波降噪提纯轴心轨迹,效果良好。
【Abstract】 There are important information in the shaft centerline orbit, but the shaft centerline orbit is often blurred by the interference of noise. Wavelet and wavelet packet decomposition and reconstruction, and the totally different properties of the wavelet transform modulus maxima of signal and noise as the scale decreases are used to denoise the blurred signal of shaft centerline orbit, and results show the efficiency of these methods.
【关键词】 小波变换;
小波包;
轴心轨迹;
小波变换模极大值;
【Key words】 wavelet transform; wavelet packet; the shaft centerline orbit; the wavelet transform modulus maxima;
【Key words】 wavelet transform; wavelet packet; the shaft centerline orbit; the wavelet transform modulus maxima;
【基金】 航天工业总公司九五科技攻关项目
- 【文献出处】 哈尔滨工业大学学报 ,JOURNAL OF HARBIN INSTITUTE OF TECHNOLOGY , 编辑部邮箱 ,1999年05期
- 【分类号】TN911.4
- 【被引频次】46
- 【下载频次】331