Time difference of arrival-based three-station lightning locating system in Malaysia

Lightning is an electrical discharge that happens during thunderstorms. The discharge type can be either within cloud (IC), cloud-to-cloud, or cloud-to-ground (CG). The characterisation of a discharge activity based on the analysis of the measured electric field is widely studied in various geograph...

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Main Author: Salimi, Behnam
Format: Thesis
Language:English
Published: 2015
Subjects:
Online Access:http://eprints.utm.my/id/eprint/54808/1/BehnamSalimiPFKE2015.pdf
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spelling my.utm.548082020-11-08T06:21:07Z http://eprints.utm.my/id/eprint/54808/ Time difference of arrival-based three-station lightning locating system in Malaysia Salimi, Behnam TK Electrical engineering. Electronics Nuclear engineering Lightning is an electrical discharge that happens during thunderstorms. The discharge type can be either within cloud (IC), cloud-to-cloud, or cloud-to-ground (CG). The characterisation of a discharge activity based on the analysis of the measured electric field is widely studied in various geographical conditions. The technique of locating a CG flash is also widely researched. However, little is known on the discharge characteristics in equatorial and tropical regions, such as those associated with preliminary breakdown pulses (PBPs) and return strokes (RSs). Similarly, improvements can still be made on Lightning Locating Systems (LLSs), especially those using the time of arrival (TOA) technique. In particular, the operation of a three-station LLS to correctly locate a CG flash is very much desired to be proven. This work aims to obtain and analyse the lightning discharge characteristics in Malaysia. The work also proposes a new TOA based technique to correctly locate a CG flash using only three measuring stations. Measurements had been made in southern Malaysia using a purposely designed lightning detection system comprising a broadband antenna. A three-station TOA based LLS had also been implemented. The new TOA based technique was developed using the three-station LLS modelling in Matlab and artificial neural network (ANN). A discrete wavelet transform based technique was successfully developed to classify the discharge type. Self-Organizing Maps and Levenberg–Marquardt algorithms can identify the correct strike position with 2.5% error. The trained ANN engine was used to determine flash locations in a 400 km2 region. The three-station LLS gives superior results in terms of detection accuracy and efficiency when compared with those measured by Malaysian Meteorological Department. 2015-11 Thesis NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/54808/1/BehnamSalimiPFKE2015.pdf Salimi, Behnam (2015) Time difference of arrival-based three-station lightning locating system in Malaysia. PhD thesis, Universiti Teknologi Malaysia, Faculty of Electrical Engineering. http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:96372
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
Salimi, Behnam
Time difference of arrival-based three-station lightning locating system in Malaysia
description Lightning is an electrical discharge that happens during thunderstorms. The discharge type can be either within cloud (IC), cloud-to-cloud, or cloud-to-ground (CG). The characterisation of a discharge activity based on the analysis of the measured electric field is widely studied in various geographical conditions. The technique of locating a CG flash is also widely researched. However, little is known on the discharge characteristics in equatorial and tropical regions, such as those associated with preliminary breakdown pulses (PBPs) and return strokes (RSs). Similarly, improvements can still be made on Lightning Locating Systems (LLSs), especially those using the time of arrival (TOA) technique. In particular, the operation of a three-station LLS to correctly locate a CG flash is very much desired to be proven. This work aims to obtain and analyse the lightning discharge characteristics in Malaysia. The work also proposes a new TOA based technique to correctly locate a CG flash using only three measuring stations. Measurements had been made in southern Malaysia using a purposely designed lightning detection system comprising a broadband antenna. A three-station TOA based LLS had also been implemented. The new TOA based technique was developed using the three-station LLS modelling in Matlab and artificial neural network (ANN). A discrete wavelet transform based technique was successfully developed to classify the discharge type. Self-Organizing Maps and Levenberg–Marquardt algorithms can identify the correct strike position with 2.5% error. The trained ANN engine was used to determine flash locations in a 400 km2 region. The three-station LLS gives superior results in terms of detection accuracy and efficiency when compared with those measured by Malaysian Meteorological Department.
format Thesis
author Salimi, Behnam
author_facet Salimi, Behnam
author_sort Salimi, Behnam
title Time difference of arrival-based three-station lightning locating system in Malaysia
title_short Time difference of arrival-based three-station lightning locating system in Malaysia
title_full Time difference of arrival-based three-station lightning locating system in Malaysia
title_fullStr Time difference of arrival-based three-station lightning locating system in Malaysia
title_full_unstemmed Time difference of arrival-based three-station lightning locating system in Malaysia
title_sort time difference of arrival-based three-station lightning locating system in malaysia
publishDate 2015
url http://eprints.utm.my/id/eprint/54808/1/BehnamSalimiPFKE2015.pdf
http://eprints.utm.my/id/eprint/54808/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:96372
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score 13.251813