DETECTION OF LOW VOLTAGE ARC SERIES FAULT AND ITS SEVERITY LEVEL USING FAST FOURIER TRANSFOR METHOD
DOI:
https://doi.org/10.11113/jurnalteknologi.v87.20884Keywords:
Arc Detection, Fast Fourier Transform (FFT), Low Voltage, STM32, Nonlinear LoadAbstract
A short circuit is an electrical fault that occurs due to two conductors in contact, which causes the resistance to be minimal, resulting in a substantial electric current. There are cases of interference that cannot be avoided. This disorder is called the arc of fire series. If the arc of fire continues continuously, heat will arise, which can damage the equipment, and fire will occur. In this study, arc series detection will be carried out at low voltage against the influence of nonlinear loads on detection performance. The data retrieval method is divided into three conditions so the detection device can distinguish interference: normal conditions, switching, and arc fire. The three condition current reading is carried out by the current transformer and read by the arc detection device. The arc detection tool processes the signal obtained from the current transformer and converts the analog signal into a digital signal. Then, an analysis is carried out using the Fast Fourier Transform method. This tool consists of rectifiers, signal conditioners, an STM32 microcontroller, and a 16 x 2 LCD. The output of this final is to create an arc detection device that can detect 100% the presence of a series of arc faults in low-voltage equipment in normal and arc fire conditions.
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