Research on Fault Diagnosis of Weapon Equipment Based on Support Vector Machines

被引：0

作者：

Zhang Lin ^{[1
]}

Liu Tao ^{[1
]}

Zhang An-tang ^{[1
]}

Xu Peng ^{[1
]}

Lian Ke ^{[1
]}

机构：

[1] AF Engn Univ, Missile Inst, Sanyuan, Peoples R China

来源：

INTELLIGENT SYSTEM AND APPLIED MATERIAL, PTS 1 AND 2 | 2012年 / 466-467卷

关键词：

Support Vector Machines; Fault Diagnosis;

D O I：

10.4028/www.scientific.net/AMR.466-467.1242

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Surface-to-air missile equipment is an advanced aerial defense weapon equipment of middle-high altitude intermediate range in our army, and this weapon equipment is also shouldering the significant task of antiaircraft defense of our country. Therefore, researching on its Fault Intelligent Diagnosis System has an important practical significance and military value on improving the weapon equipment's renewing of fault and keeping the army's battle effectiveness.

引用

页码：1242 / 1245

页数：4