The research of learning mechanism in fault diagnosis system of CNC based on MAS

被引：0
|
作者：
Zhang, Han [1 ]
Guo, Ruifeng [1 ]
Geng, Cong [1 ]
机构：
[1] Chinese Acad Sci, Shenyang Inst Comp Technol, Shenyang 110168, Peoples R China
来源：
RESEARCH IN MATERIALS AND MANUFACTURING TECHNOLOGIES, PTS 1-3 | 2014年 / 835-836卷
关键词：
CNC; MAS; fault diagnosis; artificial immune network;
D O I：
10.4028/www.scientific.net/AMR.834-836.917
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In order to solve problems in adaptive learning of diagnosis knowledge, the fault diagnosis system of computer numerical control (CNC) based on multi-agent system (MAS) is studied and the learning mechanism based on artificial immune network is proposed. The structural model of immune network and the corresponding artificial immune algorithm are also designed. The experiment result indicates that that proposed algorithm has faster learning speed and higher classification accuracy.
引用
收藏
页码：917 / 925
页数：9
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