Rolling Bearing Fault Diagnosis Based on AIS

被引：0
|
作者：
Hu, Yaobin [1 ]
Yue, Xia [2 ]
Zhang, Chunliang [3 ]
机构：
[1] Univ South China, Sch Mech Engn, Hengyang, Peoples R China
[2] South China Univ Technol, Sch Mech & Automot Engn, Guangzhou, Guangdong, Peoples R China
[3] Guangzhou Univ, Sch Mech & Elect Engineer, Guangzhou, Guangdong, Peoples R China
来源：
MANUFACTURING ENGINEERING AND AUTOMATION I, PTS 1-3 | 2011年 / 139-141卷
关键词：
artificial immune system; fault diagnosis; rolling bearing;
D O I：
10.4028/www.scientific.net/AMR.139-141.2569
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, an approach of rolling bearing fault diagnosis based on artificial immune system (AIS) is presented. The features extracted from vibration signals are normalized as the original antigens, and an advanced clone selection algorithm (CSA) is applied to train the antibodies. Then use the antibody set to recognize the faults online. The experiments on rolling bearing show the approach is effective and feasible.
引用
收藏
页码：2569 / +
页数：3
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