A fusion method of rough set and neural network for fault diagnosis

被引：0
|
作者：
Su, WJ [1 ]
Su, Y [1 ]
Xu, Y [1 ]
Zhao, H [1 ]
机构：
[1] Northeastern Univ, Sch Informat Sci & Engn, Shenyang 110004, Peoples R China
来源：
PROCEEDINGS OF THE THIRD INTERNATIONAL SYMPOSIUM ON MAGNETIC INDUSTRY (ISMI'04) & FIRST INTERNATIONAL SYMPOSIUM ON PHYSICS AND IT INDUSTRY (ISITI'04) | 2005年
关键词：
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In the paper, a fusion method of rough set and neural network for fault is put forward and used in Generator fault diagnosis. At first, rough set theory is utilized to reduce attribute of diagnosis system. Set in accordance with the practical needs, optimized decision attribute set acts as the input of artificial neural network used for fault diagnosis, which has been used for Fengman hydroelectric power station and testified the feasibility of integration of rough set and neural network. Given enough data, this method could be popularized to other generators.
引用
收藏
页码：310 / 311
页数：2
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