TRANSFORMER FAULT DIAGNOSIS BASED ON THE IMPROVED D-S EVIDENCE THEORY

被引：0
|
作者：
Hou, Yan-Dong [1 ,2 ]
Wang, Xiao-Jun [3 ]
Wen, Cheng-Lin [4 ]
Xu, Wei-Xing [2 ]
机构：
[1] Shanghai Maritime Univ, Dept Elect Automat, Shanghai 200135, Peoples R China
[2] Henan Univ, Inst Adv Control & Intelligent Informat Proc, Kaifeng 475004, Peoples R China
[3] Henan Kaifeng Power Supply Co, Kaifeng 475004, Peoples R China
[4] Hangzhou Dianzi Univ, Coll Automat, Hangzhou 310018, Zhejiang, Peoples R China
来源：
PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-6 | 2009年
关键词：
D-S evidence theory; Reliability; Correlation; Information entropy; Fault diagnosis;
D O I：
10.1109/ICMLC.2009.5212787
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 overcome the bad performance of marine transformer fault diagnosis, which induced by the reliability of symptom and the correlation with each other. Based on improved D-S evidence theory, a novel marine transformer fault diagnosis method is proposed in this paper. Firstly, the fault diagnosis model is established based on traditional D-S evidence theory. Secondly, the effective measuring for the reliability of symptom and the correlation with each other is sloved by information entropy and information energy. Finally, a numerical example is given to illustrate the effectiveness of the proposed method.
引用
收藏
页码：3413 / +
页数：2
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