%0 Journal Article
%T Fault feature extraction method of rolling bearing based on singular value decomposition and morphological filtering<br>基于奇异值分解及形态滤波的滚动轴承故障特征提取方法*
%A LI Zhao-fei
%A CHAI Yi
%A LI Hua-feng
%A <br>李兆飞
%A 柴毅
%A 李华锋
%J 计算机应用研究
%D 2012
%I 
%X Considering the strong noise background in fault feature information of vibration signal in rolling element bearing,this paper proposed a roller bearing fault feature extraction method based on SVD and morphological filters.This method made use of the relations between the singular value distribution of the time series track matrix of attractor and the signal characteristics to select the way of reconstruction of signal by most potential reflecting singular values.This way could filter smooth information and partial noise in the signal,and got impulse information with noise in the signal,then took the advantage of the feature that morphological filters was used to extract impulse feature in fault signal to act in opposition to pick out the extract impulse fault feature in signal and applied it to fault feature extraction of bearing in vibration signal.Results of experiment show that the presented method can be used for the Abstraction of the weak feature signal that mixed in the strong background noise,which is effective to Abstract weak feature signal.
%K singular value decomposition(SVD)
%K morphological filtering
%K rolling bearing
%K vibration signal
%K fault feature extraction<br>奇异值分解
%K 形态滤波
%K 滚动轴承
%K 振动信号
%K 故障特征提取
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=CF88F5976DB5FA5B1DB1BEB7F29743CD&yid=99E9153A83D4CB11&vid=771469D9D58C34FF&iid=E158A972A605785F&sid=E97B7F8EBE42C30F&eid=E62D9AFED5C50734&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=16