Exploration of Macroscopic Characterization for Low-Voltage AC Arc State

Abstract

AbstractAs far as low voltage AC arc is concerned, there is a close relationship between its micro state and macro state. Previous studies have shown that there is a correlation between the characteristic parameters of wavelet energy spectrum of arc voltage and arc burning trend, but there is a lack of theoretical elaboration and verification. In this paper, from the perspective of spectral analysis, an arc generation platform with spectral measurement function is built to realize the real-time measurement of plasma spectral line information in the arc gap. And the electron temperature and density of the arc are calculated by the Boltzmann diagram method and Stark broadening method, and their data trajectories in the whole arcing process are recorded. The comparison between the data trajectory and the wavelet energy time spectrum of arc voltage shows that the wavelet energy spectrum eigenvalue is feasible in theory as the macroscopic characterization parameter of arc state. Finally, the wavelet energy time spectrum of the new intelligent contactor at different breaking speeds is extracted and analyzed to verify the practicability of this macro characterization parameters.KeywordsAC ArcWavelet energy spectrumMacroscopic characterizationSpectrum analysisElectron density