信号奇异性检测中的小波基选择及其工程应用  

Selection of Wavelet Base in Signal Singularity Detection and its Application

作　　者：孔国杰[1] 张培林[2] 徐龙堂[1] 吴烽[1] 

机构地区：[1]北京特种车辆研究所,北京100072 [2]军械工程学院,石家庄050003

出　　处：《机械科学与技术》2009年第4期542-545,552,共5页Mechanical Science and Technology for Aerospace Engineering

摘　　要：针对小波分析在信号奇异性检测中的小波基选择存在的问题,在分析B-样条小波,插值细分小波原理的基础上,对常用的db小波,B-样条小波,插值细分小波提取信号特征的能力进行了分析比较。结果表明插值细分小波克服了传统小波降噪方法丢失原始信号局部信息的缺陷,不仅可以有效地去除原始信号中的噪声,而且能够较好地保留原始信号的局部特征,具有比较好的综合性能。研究结果为信号奇异性检测中小波基的选择提供了理论依据,将该结论应用于某机械振动信号的故障特征提取,取得了满意的效果。The problem of choosing wavelet bases in signal singularity detection are reviewed. The capability of signal feature extraction of Db wavelet, B-spline wavelet and interpolation subdivision wavelet are compared. The simulation experiments and engineering application show that interpolation subdivision wavelet can overcome the defect of classical wavelet denoising method that may lose some local information of the original signal. The wavelet can not only remove noise from the original signal effectively, but also retain the local information of the original signal. It is shown that satisfactory results in fault feature extraction of vibration signals are achieved.

关 键 词：奇异性检测 B-样条小波 插值细分法 第二代小波变换 

分 类 号：TJ305[兵器科学与技术—火炮、自动武器与弹药工程]