基于小波分析的旋转机械振动信号定量特征研究  

WAVELET-BASED QUANTITATIVE ANALYSIS OF VIBRATION SIGNAL OF ROTARY MACHINES

作　　者：侯敬宏[1] 黄树红[1] 申弢[1] 张燕平[1] 

机构地区：[1]华中科技大学能源与动力工程学院,武汉430074

出　　处：《机械工程学报》2004年第1期131-135,共5页Journal of Mechanical Engineering

基　　金：国家自然科学基金资助项目(50105004)

摘　　要：通过对机械振动信号的连续小波变换,利用小波滤波器良好的时频特性,研究了振动信号经过连续小波交换后的统计特征。在信号的特征提取中, 引入“灰度矩”并把一阶矩作为定量指标。对8种典型故障信号的研究表明,这种方法能够简单有效地提取信号的特征,区分振动故障。Wavelet has very good time-frequency domain features, the continuous wavelet coefficients of mechanical vibration signal is studied. From the aspect of feature extracting, this paper puts forward a new statistics and proved that this kind of one-order moment is very effective. 8 kinds of fault analysis results are given in detail. Research show that this quantitative analysis method could be used for extracting features of vibration siganl.

关 键 词：小波变换 故障诊断 信号处理 特征提取 旋转机械 振动 

分 类 号：TH17[机械工程—机械制造及自动化] TH113.1