Complex Fault Diagnosis Based on Immune Principle

被引：0

作者：

Cen Jian ^{[1
]}

Zhang Xuhong ^{[1
]}

Xiang Dan ^{[1
]}

Lu Xu ^{[1
]}

机构：

[1] Guangdong Polytech Normal Univ, Sch Automat, Guangzhou 510665, Guangdong, Peoples R China

来源：

ADVANCES IN MECHATRONICS AND CONTROL ENGINEERING II, PTS 1-3 | 2013年 / 433-435卷

关键词：

immune principle; fault diagnosis; immune detector; matching rule;

D O I：

10.4028/www.scientific.net/AMM.433-435.744

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

To improve the accuracy of fault diagnosis, this paper reply to biological immune theory, candidate detectors have been created in non-self space, according to biological mutation mechanism and the clone selection theory, to mature candidate detector and to reduce training time. Fault samples have classified in non-self space, in order to reduce unclear boundaries of fault samples. The use of adaptive threshold are adapted to in the diagnosis process, to reduce the diagnosis of black holes arising, the error rate and missed rate reduce, therefore the accuracy of fault diagnosis improve. Fault test and simulation results show that the effectiveness of the method.

引用

页码：744 / 749

页数：6

共 7 条

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