Transformer fault diagnosis system based fuzzy inference

被引：0

作者：

Xie, Ke-Fu ^{[1
]}

Deng, Jian-Guo ^{[2
]}

机构：

[1] Dept. of College Computer Teaching, Hunan Normal Univ, Changsha 410081, China

[2] Department of Information Eng., Coll. of Elec. and Info. Engineering, Hunan Univ, Changsha 410082, China

来源：

Journal of Natural Science of Hunan Normal University | 2004年 / 27卷 / 01期

关键词：

Algebra - Algorithms - Electric fault currents - Electric transformers - Membership functions - Optimization - Simulated annealing;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

The fuzzy membership functions and reasoning rules based on dissolved gas analysis for diagnosing fault of power transformer are proposed. A fuzzy diagnosis system for power transformer is developed and optimized by simulated annealing algorithm and test date, the lacking of criterion for fault quality of transformer on critical value of three ratio method is overcomed, the instance of lacking code in three ratio method of DGA can be explained in the procedure of diagnosing the fault of transformer, the advantage and value of application in practice are validated by examples.

引用

页码：43 / 47

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