Study on Fault Diagnosis for Transformer Based on Adaptive Fuzzy Inference System

被引：0
|
作者：
Hu, Wen-ping [1 ]
Wang, Xiao-wei [1 ]
Yin, Xiang-gen [2 ]
机构：
[1] Hebei Elect Power Res Inst, Shijiazhuang 050021, Peoples R China
[2] Huazhong Univ Sci & Technol, Wuhan 430074, Peoples R China
来源：
2008 CHINA INTERNATIONAL CONFERENCE ON ELECTRICITY DISTRIBUTION, VOLS 1 AND 2 | 2009年
关键词：
Fault diagnosis; neural network; fuzzy theory; transformer;
D O I：
10.1109/DRC.2009.5354875
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：
This paper has effectively combined self-study advantage of adaptive neural network and fuzzy reasoning method of fuzzy math, resolved the problem that the fuzzy rule is difficult to be determined in the fault diagnosis for transformer insulation, confirmed the fuzzy rule and the fuzzy subject degree by using self-study function of adaptive neural network and established ANFIS model of transformer fault diagnosis. This model has realized the fault diagnosis for electric equipments and reflected the operation condition of the transformer.
引用
收藏
页码：131 / +
页数：2
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