An Intelligent Lightning Warning System Based on Electromagnetic Field and Neural Network
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 bas...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-04-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/12/7/1275 |
| _version_ | 1798041560744460288 |
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| author | Guoming Wang Woo-Hyun Kim Gyung-Suk Kil Dae-Won Park Sung-Wook Kim |
| author_facet | Guoming Wang Woo-Hyun Kim Gyung-Suk Kil Dae-Won Park Sung-Wook Kim |
| author_sort | Guoming Wang |
| collection | DOAJ |
| description | 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%. |
| first_indexed | 2024-04-11T22:23:13Z |
| format | Article |
| id | doaj.art-d526fb4e41f34a6194ae3da02f92f0be |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-11T22:23:13Z |
| publishDate | 2019-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-d526fb4e41f34a6194ae3da02f92f0be2022-12-22T04:00:01ZengMDPI AGEnergies1996-10732019-04-01127127510.3390/en12071275en12071275An Intelligent Lightning Warning System Based on Electromagnetic Field and Neural NetworkGuoming Wang0Woo-Hyun Kim1Gyung-Suk Kil2Dae-Won Park3Sung-Wook Kim4Department of Electrical and Electronics Engineering, Korea Maritime and Ocean University, Busan 49112, KoreaDepartment of Electrical and Electronics Engineering, Korea Maritime and Ocean University, Busan 49112, KoreaDepartment of Electrical and Electronics Engineering, Korea Maritime and Ocean University, Busan 49112, KoreaR&D Center, EMI Solutions Co., LTD., Busan 49112, KoreaPower Asset Management Team, R&D Center, Hyosung Corporation, Changwon 51529, KoreaPrediction 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%.https://www.mdpi.com/1996-1073/12/7/1275lightning warning systemelectric field millloop antennaartificial neural networkprediction accuracy |
| spellingShingle | Guoming Wang Woo-Hyun Kim Gyung-Suk Kil Dae-Won Park Sung-Wook Kim An Intelligent Lightning Warning System Based on Electromagnetic Field and Neural Network Energies lightning warning system electric field mill loop antenna artificial neural network prediction accuracy |
| title | An Intelligent Lightning Warning System Based on Electromagnetic Field and Neural Network |
| title_full | An Intelligent Lightning Warning System Based on Electromagnetic Field and Neural Network |
| title_fullStr | An Intelligent Lightning Warning System Based on Electromagnetic Field and Neural Network |
| title_full_unstemmed | An Intelligent Lightning Warning System Based on Electromagnetic Field and Neural Network |
| title_short | An Intelligent Lightning Warning System Based on Electromagnetic Field and Neural Network |
| title_sort | intelligent lightning warning system based on electromagnetic field and neural network |
| topic | lightning warning system electric field mill loop antenna artificial neural network prediction accuracy |
| url | https://www.mdpi.com/1996-1073/12/7/1275 |
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