Open AccessArcing fault diagnosis using first peak arrival of EM radiation signal
Author(s) -
Melaty Amirruddin,
Mohd Rafi Adzman,
Nur Adyani Mohd Affendi,
Azwan Iskandar Azmi,
Muhd Hafizi Idris,
Hana Abdull Halim,
Muzamir Isa,
Syahirah Abdul Halim
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1878/1/012041
Subject(s) - signal (programming language) , antenna (radio) , amplitude , acoustics , fault (geology) , wavelet , electric arc , computer science , telecommunications , physics , geology , optics , artificial intelligence , seismology , electrode , quantum mechanics , programming language
The objective of this study was to diagnose the arcing fault signals based on the first peak of arrival method using antenna to assess its use as potential arcing fault detection in power system network. Square patch antenna and circle patch antenna were employed for detection on artificial arcing in real environment. First peak of arcing signal arrival was measured through an analysis over a range of time and amplitude signals detected. For accurate results, Discrete Wavelet Transform (DWT) denoising technique was applied to the arcing signals detected as denoising tools. Analysis of first peak of signal arrival time and amplitude were carried out using MATLAB software to measure the changes in signals detected caused by di different placements of antenna. The results revealed that the first peak of signal arrival time, amplitude, type of antenna used and placement of the antenna around arcing source point all reflect the signals measurement.