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Erschienen in:
2014 | OriginalPaper | Buchkapitel
Characteristic Prediction of a Varistor in Over-Voltage Protection Application
verfasst von : Kohei Nagatomo, Muhammad Aziz Muslim, Hiroki Tamura, Koichi Tanno, Wijono
Erschienen in: Neural Information Processing
Verlag: Springer International Publishing
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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.