Abstract
Arc faults are a significant concern in electrical systems and can lead to hazardous and destructive outcomes if not detected in a timely manner. The detection of arc faults requires a robust method that can accurately identify the presence of an arc event. In this study, the effectiveness of Fast Fourier Transform (FFT) and Wavelet Transformation (WT) in detecting arc faults was compared. The results show that while FFT is capable of detecting arc faults, it is not as effective as the wavelet transformation method. This is due to the difficulty in setting the detection threshold and the limited ability to distinguish the arc signature from other electrical events. On the other hand, the wavelet transformation method provides a clear distinction between the arc signal and the non-arcing signal, making it easy to detect in realtime applications. Additionally, the wavelet transformation method preserves the time-domain information, allowing for a precise determination of the arc time for improved confidence in arc fault detection.
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