A new approach of fault detection for rolling bearing based on wavelet packet energy feature

被引：0
|
作者：
Li, SL [1 ]
Li, HS [1 ]
Zhang, FT [1 ]
Li, Z [1 ]
机构：
[1] SW Jiao Tong Univ, Sch Elect Engn, Chengdu 610031, Peoples R China
来源：
2001 INTERNATIONAL CONFERENCES ON INFO-TECH AND INFO-NET PROCEEDINGS, CONFERENCE A-G: INFO-TECH & INFO-NET: A KEY TO BETTER LIFE | 2001年
关键词：
rolling bearing; fault detection; wavelet packet transform (WPT); wavelet packet energy feature (WPEF); radial basis function networks (RBFN);
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper analyzes fault characteristics of rolling bearing. By using the wavelet packet analysis theory, the concept and the algorithm of wavelet packet energy feature are proposed. Two simulation examples of wavelet packet energy feature are given. Combined wavelet packet energy feature with radial basis function networks, a new approach of fault detection for rolling bearing is proposed. The result of numerical simulation shows that this new approach is effective.
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页码：D180 / D185
页数：6
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