@inproceedings{47bcfa388da14e5692a78e7a06a93163,
title = "Characteristic prediction of a varistor in over-voltage protection application",
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.",
keywords = "ANFIS, Metallic oxide varistor, Nonlinearity, Overvoltage protection",
author = "Kohei Nagatomo and Muslim, \{Muhammad Aziz\} and Hiroki Tamura and Koichi Tanno and Wijono",
note = "Publisher Copyright: {\textcopyright} 2014 Springer International Publishing Switzerland.; 21st International Conference on Neural Information Processing, ICONIP 2014 ; Conference date: 03-11-2014 Through 06-11-2014",
year = "2014",
doi = "10.1007/978-3-319-12640-1\_68",
language = "English",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "565--572",
editor = "Loo, \{Chu Kiong\} and Yap, \{Keem Siah\} and Wong, \{Kok Wai\} and Andrew Teoh and Kaizhu Huang",
booktitle = "Neural Information Processing - 21st International Conference, ICONIP 2014, Proceedings",
}