基于相关原理的发动机振动信号提升小波分析  

Engine Vibration Signal Lifting Wavelet Analysis Based on Correlation

作　　者：王锋[1] 米东[1] 徐章遂[1] 王震[1] 

机构地区：[1]军械工程学院电气工程系,河北石家庄050003

出　　处：《计算机测量与控制》2006年第8期1113-1115,共3页Computer Measurement &Control

基　　金：国家自然科学基金资助项目(50375157)

摘　　要：发动机的振动信号可以反映发动机系统中各环节、各部件的运行状况,一般呈非平稳时变特征;经典的小波变换具有空间局部化性质,但多数性质都是通过傅立叶变换性质来实现的;提升算法摆脱了这种局限,它从一个简单的多分辨分析开始,然后向具有某一特性的MRA逐渐逼近;根据信号与噪声在各尺度下的不同传播特性,通过各层之间相关性分析滤除噪声,实现信号与噪声的有效分离。The engine vibration signal can reflect running status of each tache and each part in engine system. It usually shows non- stationary time varying characteristic. Wavelet transform has space local character. But most of feature on wavelet are based on Fourier transform. Lifting scheme gets rid of the localization. It begins from a ,simply MRA, and then approach to a MRA with certain character gradually. According to the different spread feature between signal and noise on each scale, correlation analysis can be used to remove noise and extract signal feature effectively.

关 键 词：相关性 发动机 提升小波 去噪 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]