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	Feature fusion using kernel joint approximate diagonalization of eigen-matrices for rolling bearing fault identification
	Lu,Siliang; Liu,Fang; He,Bing; Liu,Yongbin; Zhao,Yilei
刊名	Journal of Sound and Vibration
	2016
卷号	Vol.385页码:389-401
关键词	NONLINEAR DIMENSIONALITY REDUCTION ROTATING MACHINERY DIAGNOSIS CLASSIFICATION SVM MANIFOLD ALGORITHM WAVELET MODEL PCA
ISSN号	0022-460X
URL标识	查看原文
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2156598
专题	安徽大学
作者单位	1.Anhui Univ, Natl Engn Lab Energy Saving Motor & Control Techn, Hefei 230601, Peoples R China 2.Anhui Univ, Coll Elect Engn & Automat, Hefei 230601, Anhui, Peoples R China
推荐引用方式 GB/T 7714	Lu,Siliang,Liu,Fang,He,Bing,et al. Feature fusion using kernel joint approximate diagonalization of eigen-matrices for rolling bearing fault identification[J]. Journal of Sound and Vibration,2016,Vol.385:389-401.
APA	Lu,Siliang,Liu,Fang,He,Bing,Liu,Yongbin,&Zhao,Yilei.(2016).Feature fusion using kernel joint approximate diagonalization of eigen-matrices for rolling bearing fault identification.Journal of Sound and Vibration,Vol.385,389-401.
MLA	Lu,Siliang,et al."Feature fusion using kernel joint approximate diagonalization of eigen-matrices for rolling bearing fault identification".Journal of Sound and Vibration Vol.385(2016):389-401.

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