Universiti Teknologi Malaysia Institutional Repository

Artificial neural network application in an implemented lightning locating system

Mehranzamir, Kamyar and Abdul Malek, Zulkurnain and Afrouzi, Hadi Nabipour and Mashak, Saeed Vahabi and Wooi, Chin Leong and Zarei, Roozbeh (2020) Artificial neural network application in an implemented lightning locating system. Journal of Atmospheric and Solar-Terrestrial Physics, 210 . ISSN 1364-6826

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Official URL: http://dx.doi.org/10.1016/j.jastp.2020.105437

Abstract

Time difference of arrival (TDOA) technique is one of many bases to determine lightning strike location employed in a lightning locating system (LLS). In this technique, at least four measurement sensors are required to correctly locate a lightning strike. Usage of fewer number of sensors will result in non-unique solutions to the generated hyperbolas, and hence wrong lightning strike point. This research aims to correctly determine the strike point even if only three measuring sensors are utilized. An artificial neural network (ANN) based algorithm was developed for a 400 km2 coverage area in Southern Malaysia using time of arrival data collected at the three measuring stations over a certain period. The Levenberg–Marquardt algorithm is demonstrated to correctly identify the lightning strike coordinates with an average error of 350 m. The algorithm has helped the three-station TDOA-based LLS to successfully locate the lightning strike point with a remarkable accuracy comparable to that of commercial systems.

Item Type:Article
Uncontrolled Keywords:artificial neural network (ANN), lightning detection, lightning discharge
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:91778
Deposited By: Yanti Mohd Shah
Deposited On:28 Jul 2021 08:42
Last Modified:28 Jul 2021 08:42

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