Abstract : Arc faults are significant with respect to reliability and safety concern for electrical systems which can cause stoppage in intermittent operation and electrical shock hazards which can even result in fire. Arc fault in such vast systems are random and challenging which makes the study of arc fault detection using arc signature difficult. The high-frequency content of the arc requires fast sampling, which are having long memory, which requires proper data storage for fast processing and analyzing the arc. As signal to noise ratio is low and arc signal are not periodic in nature, commercialized existing techniques like Fourier Transform do not work well since they depend on recognizing pattern with time domain or frequency domain. In contrast, wavelet Transform (WT), recently developed method for analyzing, provides a time and frequency approach to analyze target signals with several resolutions. This review paper proposal proposes a method based on Wavelet Packet analysis which has the localization characteristics to detect low-voltage DC arc fault. The mother wavelet selection is studied as well by using various orders of Daubechies wavelet. Efforts have been made in this study to incorporate and review approximately all important techniques and philosophies of arc fault detection. This comprehensive and exhaustive survey will reduce the difficulty of new researchers to evaluate different WT based techniques with a set of references of all concerned contributions.
Keywords: Arc fault analysis, arc flash, dc distribution, dc microgrid safety, signal processing, wavelet transform (WT)
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