Author/Authors :
Sidik, Muhammad Abu Bakar Universiti Teknologi Malaysia - Faculty of Electrical Engineering, Institute of High Voltage And Current (IVAT), Malaysia , Sidik, Muhammad Abu Bakar Universitas Sriwijaya - Faculty of Engineering - Department of Electrical Engineering, Indonesia , Shukri, Nuru Saniyyati Che Mohd Universitas Sriwijaya - Faculty of Engineering - Department of Electrical Engineering, Indonesia , Ahmad, Hussein Universiti Teknologi Malaysia - Faculty of Electrical Engineering, Institute of High Voltage High Current (IVAT), Malaysia , Buntat, Zolkafle Universiti Teknologi Malaysia - Faculty of Electrical Engineering, Institute of High Voltage and High Current, Malaysia , Bashir, Nouruddeen Universiti Teknologi Malaysia - Faculty of Electrical Engineering, Institut Voltan dan Arus Tinggi (IVAT), Malaysia , Arief, Yanuar Zulardiansyah Universiti Teknologi Malaysia - Faculty of Electrical Engineering, Institut Voltan dan Arus Tinggi (IVAT), Malaysia , NawawI, Zainuddin Universitas Sriwijaya - Faculty of Engineering - Department of Electrical Engineering, Indonesia , Jambak, Muhammad Irfan Universitas Sriwijaya - Faculty of Engineering - Department of Electrical Engineering, Indonesia
Abstract :
Weather can be unpredictable as there are a lot of uncertainties in predicting thunderstorms. Most of our navigation systems, including those on air, land and water, as well as broadcasting systems, are directly affected by the weather on a daily basis. The inconsistent and unreliable nature of storms brings out the importance of research in atmospheric electric field data logging systems. This paper presents a study to develop a virtual instrument with the capability to analyse and store the magnitude (data) of atmospheric electric fields. The study was carried out using a LabVIEW virtual instrument and tested using data acquisition (DAQ) and a function generator. The developed virtual instrument consists of waveform chart, tabulated data, and histogram for real time observation. Moreover, it has feature to save and recall data for further analysis.
