摘要
结合盲源分离技术和全矢谱技术的各自优势,提出一种同源双通道信噪盲源分离法。首先采用时间固有尺度分解(ITD)和独立分量分析(ICA)相结合的分析法降噪,对同源双通道的轴承信号进行ITD分解,根据相关系数准则将分解得到的PRC分量进行重组作为ICA输入矩阵,再采用FastICA解混,实现故障信号与噪声信号的分离;其次采用全矢谱技术对信噪分离降噪后的双通道有效分量信号进行全矢信息融合,做全矢谱分析。滚动轴承故障实验对比分析表明了该方法的有效性。
The advantages of blind source separation and full vector spectrum technology were combined,and a method of signal noise ratio(SNR)of blind source separation for two channels was presented.Firstly,the ITD and ICA method were combined to reduce noises.The vibration signals of two channels were decomposed by ITD.The proper rotation components(PRC)were decomposed by correlation coefficient criterion restructuring as the inputs of ICA matrix.FastICA was used to realize the separation of fault signals and noise signals.Secondly,the full vector spectrum technology was used to carry out the full vector information fusion of the two channel fault signals and full vector spectrum analysis was completed after reducing noises.The comparison of experiments of rolling bearing fault analyses indicates the effectiveness of the method.
作者
刘嘉辉
董辛旻
李剑飞
LIU Jiahui;DONG Xinmin ;LI Jianfei(School of Mechanical Engineering,Zhengzhou University,Zhengzhou,450001)
出处
《中国机械工程》
EI
CAS
CSCD
北大核心
2018年第8期943-948,共6页
China Mechanical Engineering
基金
国家重点研发计划资助项目(2016YFF0203100)
关键词
时间固有尺度分解
盲源分离
独立分量分析
全矢谱
inherent time scale decomposition(ITD)
blind source separation
independent component analysis(ICA)
full vector spectrum