A hybrid feature selection scheme for unsupervised learning and its application in bearing fault diagnosis (vol 38, pg 11311, 2011)

被引：0
|
作者：
Yang, Yang [1 ]
Liao, Linxia [2 ]
Meng, Guang [1 ]
Lee, Jay [2 ]
机构：
[1] Shanghai Jiao Tong Univ, State Key Lab Mech Syst & Vibrat, Shanghai 200240, Peoples R China
[2] Univ Cincinnati, NSF I UCR Ctr Intelligent Maintenance Syst, Cincinnati, OH 45221 USA
来源：
EXPERT SYSTEMS WITH APPLICATIONS | 2013年 / 40卷 / 02期
关键词：
D O I：
10.1016/j.eswa.2012.07.039
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
引用
收藏
页码：839 / 839
页数：1
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