Single station localised lightning locating system

Lightning can be beautiful in view yet dangerous when it struck things and human beings. Many techniques had been produced in order to detect the location of lightning strikes. Some techniques require high cost of installation yet the system is not accurately locating the possible point. In this pap...

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Main Author: Wan Mahmood, Wan Nurul Aiman
Format: Thesis
Language:English
Published: 2015
Subjects:
Online Access:http://eprints.utm.my/id/eprint/50687/25/WanNurulAimanMFKE2015.pdf
http://eprints.utm.my/id/eprint/50687/
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spelling my.utm.506872020-07-08T04:11:03Z http://eprints.utm.my/id/eprint/50687/ Single station localised lightning locating system Wan Mahmood, Wan Nurul Aiman TK Electrical engineering. Electronics Nuclear engineering Lightning can be beautiful in view yet dangerous when it struck things and human beings. Many techniques had been produced in order to detect the location of lightning strikes. Some techniques require high cost of installation yet the system is not accurately locating the possible point. In this paper, the technique proposed is by using Magnetic Direction Finder (MDF) by the help of time-to-thunder method. The hardware part consists of microphone to detect sound of thunder and closed-loop antenna to detect electromagnetic wave signal which can be considered as flash. These two inputs will be then being simulated by using MATLAB software in order to get the longitude of the possible location of lightning strike which can be seen on the google earth. The system is much cheaper yet accurate compared to the other existing lightning detection system produced. 2015-01 Thesis NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/50687/25/WanNurulAimanMFKE2015.pdf Wan Mahmood, Wan Nurul Aiman (2015) Single station localised lightning locating system. Masters thesis, Universiti Teknologi Malaysia, Faculty of Electrical Engineering. http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:85258
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Wan Mahmood, Wan Nurul Aiman
Single station localised lightning locating system
description Lightning can be beautiful in view yet dangerous when it struck things and human beings. Many techniques had been produced in order to detect the location of lightning strikes. Some techniques require high cost of installation yet the system is not accurately locating the possible point. In this paper, the technique proposed is by using Magnetic Direction Finder (MDF) by the help of time-to-thunder method. The hardware part consists of microphone to detect sound of thunder and closed-loop antenna to detect electromagnetic wave signal which can be considered as flash. These two inputs will be then being simulated by using MATLAB software in order to get the longitude of the possible location of lightning strike which can be seen on the google earth. The system is much cheaper yet accurate compared to the other existing lightning detection system produced.
format Thesis
author Wan Mahmood, Wan Nurul Aiman
author_facet Wan Mahmood, Wan Nurul Aiman
author_sort Wan Mahmood, Wan Nurul Aiman
title Single station localised lightning locating system
title_short Single station localised lightning locating system
title_full Single station localised lightning locating system
title_fullStr Single station localised lightning locating system
title_full_unstemmed Single station localised lightning locating system
title_sort single station localised lightning locating system
publishDate 2015
url http://eprints.utm.my/id/eprint/50687/25/WanNurulAimanMFKE2015.pdf
http://eprints.utm.my/id/eprint/50687/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:85258
_version_ 1674066140347760640
score 13.160551