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

Muhammad Akmal Bahari (Universiti Teknikal Malaysia Melaka)
Zikri Abadi Baharudin (Universiti Teknikal Malaysia Melaka)
Tole Sutikno (Universitas Ahmad Dahlan)
Ahmad Idil Abdul Rahman (Universiti Teknikal Malaysia Melaka)
Mohd Ariff Mat Hanafiah (Universiti Teknikal Malaysia Melaka)
Mazree Ibrahim (Universiti Teknikal Malaysia Melaka)

Indonesian Journal of Electrical Engineering and Computer Science
Vol 23, No 3: September 2021

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.