Characteristic prediction of a varistor in over-voltage protection application

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Kohei Nagatomo, Muhammad Aziz Muslim, Hiroki Tamura, Koichi Tanno, Wijono

2014 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 8835 Conference paper Cited by 0

Abstract

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. © 2014 Springer International Publishing Switzerland.

Affiliations

Graduate School of Electric and Electronic Engineering, University of Miyazaki, 1-1 Gakuenkibanadainishi, Miyazaki-City, Miyazaki, Japan; Department of Electrical Engineering, University of Brawijaya, Jalan Veteran, Malang, Jawa Timur, Indonesia; Department of Environmental Robotics, University of Miyazaki, 1-1 Gakuenkibanadainishi, Miyazaki-City, Miyazaki, Japan; Department of Electrical and Systems, University of Miyazaki, 1-1 Gakuenkibanadainishi, Miyazaki-City, Miyazaki, Japan