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Characteristic Prediction of a Varistor in Over-Voltage Protection Application

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Neural Information Processing (ICONIP 2014)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8835))

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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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Authors and Affiliations

  1. Graduate School of Electric and Electronic Engineering, University of Miyazaki, 1-1 Gakuenkibanadainishi, Miyazaki-City, Miyazaki, Japan

    Kohei Nagatomo

  2. Department of Electrical Engineering, Faculty of Engineering, University of Brawijaya Jalan Veteran, Malang, Jawa Timur, Indonesia

    Muhammad Aziz Muslim &  Wijono

  3. Department of Environmental Robotics, Faculty of Engineering, University of Miyazaki, 31-1 Gakuenkibanadainishi, Miyazaki-City, Miyazaki, Japan

    Kohei Nagatomo & Hiroki Tamura

  4. Department of Electrical and Systems, Faculty of Engineering, University of Miyazaki, 41-1 Gakuenkibanadainishi, Miyazaki-City, Miyazaki, Japan

    Koichi Tanno

Authors
  1. Kohei Nagatomo
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  2. Muhammad Aziz Muslim
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  3. Hiroki Tamura
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  4. Koichi Tanno
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  5. Wijono
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Editor information

Editors and Affiliations

  1. Department of Artificial Intelligence, Faculty of Computer Science and Information Technology Building, University of Malaya, 50603, Kuala Lumpur, Malaysia

    Chu Kiong Loo

  2. Department of Electronics and Communication Engineering, College of Engineering, Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, 43009, Kajang, Selangor, Malaysia

    Keem Siah Yap

  3. School of Engineering and Information Technology, Murdoch University, South St., 6150, Murdoch, Western Australia, Australia

    Kok Wai Wong

  4. Department of Electrical and Electronics Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, 120-749, Seoul, South Korea

    Andrew Teoh

  5. Department of Electrical and Electronic Engineering, Xi’an Jiaotong-Liverpool University, Ren’ai Road 111, SIP 215123, Suzhou, Jiangsu Province, China

    Kaizhu Huang

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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

  • eBook Packages: Computer ScienceComputer Science (R0)

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