A Study on an Arc Detection Device by Noise Learning Algorithm

It is very high that the proportion of fires caused by electrical factors in Korea. In particular, fires caused by arc faults account for most of the total electric fire. However, the prevention of arc faults is insufficient in Korea. Recently, arc detection devices have been developed to analyze the amplitude and frequency of arc_type noise signal. However, since these devices must count all noise signals or analyze frequency components in real time, harmless noise components similar to arc_type noise signals are also recognized as arc signals, resulting in malfunction and reliability degradation in arc fault detection. This paper proposes a new arc detection device to improve for the problems of existing arc detectors. The proposed arc detection device has an algorithm that periodically learns general non-risk noise generated in the customer