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An Intelligent Lightning Warning System Based on Electromagnetic Field and Neural Network

1
Department of Electrical and Electronics Engineering, Korea Maritime and Ocean University, Busan 49112, Korea
2
R&D Center, EMI Solutions Co., LTD., Busan 49112, Korea
3
Power Asset Management Team, R&D Center, Hyosung Corporation, Changwon 51529, Korea
*
Author to whom correspondence should be addressed.
Energies 2019, 12(7), 1275; https://doi.org/10.3390/en12071275
Received: 28 February 2019 / Revised: 18 March 2019 / Accepted: 26 March 2019 / Published: 2 April 2019
(This article belongs to the Section Electrical Power and Energy System)
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Abstract

Prediction of lightning occurrence has significant relevance for reducing potential damage to electric installations, buildings, and humans. However, the existing lightning warning system (LWS) operates using the threshold method and has low prediction accuracy. In this paper, an intelligent LWS based on an electromagnetic field and the artificial neural network was developed for improving lightning prediction accuracy. An electric field mill sensor and a pair of loop antennas were designed to detect the real-time electric field and the magnetic field induced by lightning, respectively. The change rate of electric field, temperature, and humidity acquired 2 min before lightning strikes, were used for developing the neural network using the back propagation algorithm. After observing and predicting lightning strikes over six months, it was verified that the proposed LWS had a prediction accuracy of 93.9%. View Full-Text
Keywords: lightning warning system; electric field mill; loop antenna; artificial neural network; prediction accuracy lightning warning system; electric field mill; loop antenna; artificial neural network; prediction accuracy
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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MDPI and ACS Style

Wang, G.; Kim, W.-H.; Kil, G.-S.; Park, D.-W.; Kim, S.-W. An Intelligent Lightning Warning System Based on Electromagnetic Field and Neural Network. Energies 2019, 12, 1275.

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