Characteristic Prediction of a Varistor in Over-Voltage Protection Application

被引：0

作者：

Nagatomo, Kohei ^{[1
,4
]}

Muslim, Muhammad Aziz ^{[2
,3
]}

Tamura, Hiroki ^{[4
]}

Tanno, Koichi

Wijono ^{[2
,3
]}

机构：

[1] Univ Miyazaki, Grad Sch Elect & Elect Engn, 1-1 Gakuenkibanadainishi, Miyazaki, Miyazaki, Japan

[2] Univ Brawijaya, Fac Engn, Dept Elect Engn, Malang, Jawa Timur, Indonesia

[3] Univ Miyazaki, Fac Engn, Dept Environm Robot, Miyazaki, Miyazaki, Japan

[4] Univ Miyazaki, Fac Engn, Dept Elect & Syst, Miyazaki, Miyazaki, Japan

来源：

NEURAL INFORMATION PROCESSING (ICONIP 2014), PT II | 2014年 / 8835卷

关键词：

Overvoltage protection; metallic oxide varistor; nonlinearity; ANFIS; FUZZY INFERENCE SYSTEM; ANFIS;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a characteristic prediction of a varistor for modeling a varistor in over-voltage protection applications. Variable resistor (Varistor) is one of common devices to protect following electric devices from over-voltage. However, the principle of varistor is still unclear due to its non-linear characteristics between amount of voltage and current. To model the non-linearity, the prediction using adaptive network-based-fuzzy inference system (ANFIS) will be used with several datasets obtained by a high-voltage experiment concerning to the varistor. The result can be used to model the varistor as a voltage clipping device.

引用

页码：565 / 572

页数：8

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