Arc fault signatures detection on aircraft wiring system

In this paper an arc fault detection method is proposed based on characteristics of the fault current of an electric arc. A localized signal processing method is developed using wavelet analysis to decompose the differential current signal into a series of wavelet components, each of which is a time-domain signal that covers a specific frequency band. Thus, more distinctive signal features that represent arc faults and other fault transient phenomena are extracted. As a result, by quantifying the extracted features, an arc faults are distinguished from phenomena similar to arc and other fault transients using the differences in the quantified features. Simulation studies have demonstrated that the proposed method is reliable and simple.