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.
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© 2014 Springer International Publishing Switzerland
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Nagatomo, K., Muslim, M.A., Tamura, H., Tanno, K., Wijono (2014). Characteristic Prediction of a Varistor in Over-Voltage Protection Application. In: Loo, C.K., Yap, K.S., Wong, K.W., Teoh, A., Huang, K. (eds) Neural Information Processing. ICONIP 2014. Lecture Notes in Computer Science, vol 8835. Springer, Cham. https://doi.org/10.1007/978-3-319-12640-1_68
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DOI: https://doi.org/10.1007/978-3-319-12640-1_68
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-12639-5
Online ISBN: 978-3-319-12640-1
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