自适应二代小波变换在振动信号降噪中的应用  

VIBRATION SIGNAL DENOISING USING ADAPTIVE SECOND GENERATION WAVELETS

作　　者：张志斌[1] 郑海起[2] 唐力伟[2] 

机构地区：[1]军械工程学院光学与电子工程系,石家庄050003 [2]军械工程学院火炮工程系,石家庄050003

出　　处：《机械强度》2006年第z1期48-51,共4页Journal of Mechanical Strength

基　　金：国家自然科学基金资助项目(50375157)~~

摘　　要：小波分析技术已成功应用于振动信号的降噪处理。第二代小波变换是一种比Mallat算法更为有效的算法。文中介绍第二代小波变换的基本理论和特点,提出基于二代小波的线性适应性信号分解算法和尺度适应性信号分解算法,并将其应用于对含噪的齿轮箱振动信号进行降噪处理。结果证明,与其他降噪方法相比,使用线性适应性二代小波降噪后的信号具有最佳的信噪比和最低的重构误差。Wavelets have been successfully used in denoising the vibration signals. The second generation wavelets work more effectively than the Mallat arithmetic. The basic theory and advantages of the second generation wavelets transform was introduced. Line-adaptive decomposition arithmetic and scale-adaptive decomposition arithmetic have been developed based on the second generation wavelets. Denoising method using soft threshold of traditional and the second generation wavelet transform coefficients are implemented in matlab programs. Experiments reveal that the denoised signals using the line-adaptive second generation wavelet have the best SNR(signal noise rate) and the lowest maximum-absolute reconstruction errors.

关 键 词：第二代小波变换 降噪 线性适应性算法 尺度适应性算法 振动信号 

分 类 号：TH133.3[机械工程—机械制造及自动化]