Fault Diagnosis of Power Transformer Based on Heuristic Reduction Algorithm

被引：0
|
作者：
Li Zhong [1 ]
Yuan Jinsha [1 ]
Su Peng [1 ]
机构：
[1] N China Elect Power Univ, Sch Elect & Elect Engn, Baoding, Peoples R China
来源：
2009 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), VOLS 1-7 | 2009年
关键词：
fault diagnosis; power transformer; rough set; heuristic reduction;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
Reduction of knowledge is an important topic on studies of rough set. In this paper, we present a heuristic reduction algorithm based on the dependency of a knowledge decision system for power transformer fault diagnosis. A group of minimal decision rules are produced from the consistency of the system attributes. A lot of real fault samples were analyzed by this algorithm. The experimental results show that the proposed algorithm is effective and efficient.
引用
收藏
页码：2860 / 2863
页数：4
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