Research on arc fault simulation based on Schwarz model and wavelet analysis

Abstract

Abstract: Studying Schwarz arc simulation model contributes to keeping away accidents caused by series arc faults. Simulating and contrasting nonlinear loaded circuit arc model can analyze the features of voltage and electricity by using Schwarz when circuit fails. Using the wavelet analysis to decompose electricity and then calculate energy of different frequency band. Finally we find energy's variation ratio coefficient of d6 frequency band is the biggest when there is an arc fault in the linear load circuit. And energy's variation ratio coefficient of Ea6 and d5 frequency band are the biggest when there is an arc fault in the nonlinear load circuit. So taking advantage of the feature can judge if circuit fault occurs by detecting electricity energy of d6, Ea6 and d5,and keep away accidents caused by series arc faults.

Key words: Schwarz arc model, series arc fault, electrical fire, wavelet andlysis

LI Wei-zhen, QU Na, ZHANG Shuai, ZHENG Tian-fang. Research on arc fault simulation based on Schwarz model and wavelet analysis[J]. Fire Science and Technology, 2020, 39(9): 1260-1263.

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Research on arc fault simulation based on Schwarz model and wavelet analysis

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