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CSOC 2017: Cybernetics and Mathematics Applications in Intelligent Systems pp 300–310Cite as

Lightning Impulse Voltage Evaluation

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 574))

Abstract

This research studied and developed software for lightning impulse voltage parameters evaluation. Full lightning impulse voltage of 9 cases in TDG program had been used as references for software tested. This software created 2 types of voltage waveform which are mean curve and approximate real curve. Kalman Filter had been used for mean curve. QR algorithm had been used for approximate real curve. The experimental results show that the purported software can evaluate all lightning impulse parameters as IEC 61083-2 standards in every case.

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References

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Acknowledgement

Without the research presentation fund of Vongchavalitkul University, this research would not have been possible.

Author information

Authors and Affiliations

  1. Electrical Engineering Branch, Faculty of Engineering, Vongchavalitkul University, Nakhonratchasima, Thailand

    Nopphadon Khodpun & Krisada Vilailak

Authors
  1. Nopphadon Khodpun
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  2. Krisada Vilailak
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Corresponding author

Correspondence to Krisada Vilailak .

Editor information

Editors and Affiliations

  1. Faculty of Applied Informatics, Tomas Bata University in Zlín Faculty of Applied Informatics, Zlín, Czech Republic

    Radek Silhavy

  2. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Roman Senkerik

  3. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Zuzana Kominkova Oplatkova

  4. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Zdenka Prokopova

  5. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Petr Silhavy

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© 2017 Springer International Publishing AG

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Khodpun, N., Vilailak, K. (2017). Lightning Impulse Voltage Evaluation. In: Silhavy, R., Senkerik, R., Kominkova Oplatkova, Z., Prokopova, Z., Silhavy, P. (eds) Cybernetics and Mathematics Applications in Intelligent Systems. CSOC 2017. Advances in Intelligent Systems and Computing, vol 574. Springer, Cham. https://doi.org/10.1007/978-3-319-57264-2_31

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  • DOI: https://doi.org/10.1007/978-3-319-57264-2_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-57263-5

  • Online ISBN: 978-3-319-57264-2

  • eBook Packages: EngineeringEngineering (R0)

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