| Title |
Analysis of Detection Method for Series Arc Fault Signal by using DWT |
| Authors |
방선배(Bang, Sun-Bae) ; 김종민(Kim, Chong-Min) ; 박종연(Park, Chong-Yeun) ; 정영식(Chung, Young-Sik) |
| Keywords |
AFCI ; Series Arc-Fault ; Wavelet Transform ; Electrical Fire |
| Abstract |
Electrical fires have been occurred continuously in spite of installing ELB. Therefore the concern with the electrical arc-fault that cause the fire has growing. This paper measured series arc fault currents by the method of arc generator test in UL standard 1699. The used analysis methods in this paper are three different ways using DWT(discrete wavelet transform) those are frequently used for the arc fault current signal analysis. The arc fault detection probability is 100 % by method using noise-energy/shoulder-duration ratio of approximation coefficient. As these results, the variation of noise-energy and shoulder-duration ratio of approximation coefficient are founded important factors for the analysis of arc fault. |