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An analysis of manual and autoanalysis for submicrosecond parameters in the typical first lightning return stroke

The mechanism on how lightning detection system (LDS) operated never been exposed by manufacturer since it was confidential. This scenario motivated the authors to explore the issue above by using MATLAB to develop autoanalysis software based on the feature extraction. This extraction is intended fo...

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Main Authors: Baharudin, Zikri Abadi, Bahari, Muhammad Akmal, Sutikno, Tole, Abdul Rahman, Ahmad Idil, Mat Hanafiah, Mohd Ariff, Ibrahim, Mazree
Format: Article
Language:English
Published: Institute of Advanced Engineering and Science 2021
Online Access:http://eprints.utem.edu.my/id/eprint/25708/2/PAPER%20IJEECE%20SEP%2021.PDF
http://eprints.utem.edu.my/id/eprint/25708/
http://ijeecs.iaescore.com/index.php/IJEECS/article/view/25765/15420#
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spelling my.utem.eprints.257082023-07-03T09:59:53Z http://eprints.utem.edu.my/id/eprint/25708/ An analysis of manual and autoanalysis for submicrosecond parameters in the typical first lightning return stroke Baharudin, Zikri Abadi Bahari, Muhammad Akmal Sutikno, Tole Abdul Rahman, Ahmad Idil Mat Hanafiah, Mohd Ariff Ibrahim, Mazree The mechanism on how lightning detection system (LDS) operated never been exposed by manufacturer since it was confidential. This scenario motivated the authors to explore the issue above by using MATLAB to develop autoanalysis software based on the feature extraction. This extraction is intended for recognizing the parameters in the first return stroke, and compare the measurement between the autoanalysis software and the manual analysis. This paper is a modification based on a previous work regarding autoanalysis of zero-crossing time and initial peak of return stroke using features extraction programming technique. Further, the parameter on rising time of initial peak is added in this autoanalysis programming technique. Finally, the manual analysis using WaveStudio (LeCroy product) of those two lightning parameters is compared with autoanalysis software. This study found that the autoanalysis produce similar result with the manual analysis, hence proved the reliability of this software. Institute of Advanced Engineering and Science 2021-09 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/25708/2/PAPER%20IJEECE%20SEP%2021.PDF Baharudin, Zikri Abadi and Bahari, Muhammad Akmal and Sutikno, Tole and Abdul Rahman, Ahmad Idil and Mat Hanafiah, Mohd Ariff and Ibrahim, Mazree (2021) An analysis of manual and autoanalysis for submicrosecond parameters in the typical first lightning return stroke. Indonesian Journal of Electrical Engineering and Computer Science, 23 (3). pp. 1451-1457. ISSN 2502-4752 http://ijeecs.iaescore.com/index.php/IJEECS/article/view/25765/15420# 10.11591/ijeecs.v23.i3.pp1451-1457
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
description The mechanism on how lightning detection system (LDS) operated never been exposed by manufacturer since it was confidential. This scenario motivated the authors to explore the issue above by using MATLAB to develop autoanalysis software based on the feature extraction. This extraction is intended for recognizing the parameters in the first return stroke, and compare the measurement between the autoanalysis software and the manual analysis. This paper is a modification based on a previous work regarding autoanalysis of zero-crossing time and initial peak of return stroke using features extraction programming technique. Further, the parameter on rising time of initial peak is added in this autoanalysis programming technique. Finally, the manual analysis using WaveStudio (LeCroy product) of those two lightning parameters is compared with autoanalysis software. This study found that the autoanalysis produce similar result with the manual analysis, hence proved the reliability of this software.
format Article
author Baharudin, Zikri Abadi
Bahari, Muhammad Akmal
Sutikno, Tole
Abdul Rahman, Ahmad Idil
Mat Hanafiah, Mohd Ariff
Ibrahim, Mazree
spellingShingle Baharudin, Zikri Abadi
Bahari, Muhammad Akmal
Sutikno, Tole
Abdul Rahman, Ahmad Idil
Mat Hanafiah, Mohd Ariff
Ibrahim, Mazree
An analysis of manual and autoanalysis for submicrosecond parameters in the typical first lightning return stroke
author_facet Baharudin, Zikri Abadi
Bahari, Muhammad Akmal
Sutikno, Tole
Abdul Rahman, Ahmad Idil
Mat Hanafiah, Mohd Ariff
Ibrahim, Mazree
author_sort Baharudin, Zikri Abadi
title An analysis of manual and autoanalysis for submicrosecond parameters in the typical first lightning return stroke
title_short An analysis of manual and autoanalysis for submicrosecond parameters in the typical first lightning return stroke
title_full An analysis of manual and autoanalysis for submicrosecond parameters in the typical first lightning return stroke
title_fullStr An analysis of manual and autoanalysis for submicrosecond parameters in the typical first lightning return stroke
title_full_unstemmed An analysis of manual and autoanalysis for submicrosecond parameters in the typical first lightning return stroke
title_sort analysis of manual and autoanalysis for submicrosecond parameters in the typical first lightning return stroke
publisher Institute of Advanced Engineering and Science
publishDate 2021
url http://eprints.utem.edu.my/id/eprint/25708/2/PAPER%20IJEECE%20SEP%2021.PDF
http://eprints.utem.edu.my/id/eprint/25708/
http://ijeecs.iaescore.com/index.php/IJEECS/article/view/25765/15420#
_version_ 1770555172132487168
score 13.211869

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