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Mohd Ariff Mat Hanafiah
Universiti Teknikal Malaysia Melaka

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An analysis of manual and autoanalysis for submicrosecond parameters in the typical first lightning return stroke Muhammad Akmal Bahari; Zikri Abadi Baharudin; Tole Sutikno; Ahmad Idil Abdul Rahman; Mohd Ariff Mat Hanafiah; Mazree Ibrahim
Indonesian Journal of Electrical Engineering and Computer Science Vol 23, No 3: September 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v23.i3.pp1451-1457

Abstract

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.
Co-Authors Ahmad Idil Abdul Rahman Mazree Ibrahim Muhammad Akmal Bahari Tole Sutikno Zikri Abadi Baharudin