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.
出处
《机械工程学报》
EI
CAS
CSCD
北大核心
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)
