Automatic Control System Fault Image Recognition Technology

被引：0
|
作者：
Yang Zhong-guo [1 ]
Cai Tian-Fang [1 ]
机构：
[1] Zaozhuang Inst Mech & Elect Engn, Zaozhuang 277160, Peoples R China
来源：
APPLIED SCIENCE, MATERIALS SCIENCE AND INFORMATION TECHNOLOGIES IN INDUSTRY | 2014年 / 513-517卷
关键词：
Automatic control; system fault; image recognition;
D O I：
10.4028/www.scientific.net/AMM.513-517.4111
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
The inspection methods and ways of automatic control system fault positions directly link to the feasibility of products. The paper bases on basis principles of image recognition, studies on the module design of automatic control system images and fault image recognition algorithm, puts forward depressed windowing grey level linear partitioning characteristic extraction algorithm and control system fault characteristic recognition algorithm and check its feasibility.
引用
收藏
页码：4111 / 4114
页数：4
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