Experimental Research about the Current Characteristic of the Fault Arc in Series based on Wavelet Analysis

In order to solve the fire detection problem of the electrical fault arc in series, it is introduced in this paper to decompose and reconstruct current waveforms of the fault arc in series, based on MALLAT arithmetic of the wavelet transform, which were obtained by the experimental device of the electrical fault arc in different resistance loads and different frequencies. By introducing the wavelet transform method in the data analysis, current waveforms of the fault arc in series are processed with intercalating the wavelet parameter, and the characteristic parameter and frequency range of the fault arc current signal can be distilled. And then, the special frequency range of the fault arc current signal in series, based on different electric loads and different frequencies, can be regarded as the judgment of the fire detecting alarm, which could provide the technical base with the efficient detection method of the electric fault arc in series.