Abstract
Detection and analysis of series arcs is significantly meaningful for preventing arc-caused electrical fires in advance. However, the improvement of arc detection sensitivity and the discrimination of arc conditions are still challenges when developing an arc fault detector. In this paper, arc signals in various loads with three major incomplete connection states were detected and further analyzed using the discrete wavelet transform. It was verified that the db13 was the optimal mother wavelet to analyze the arc pulses and the decomposed signals in the detail components of D5, D6, D7, and D8 were related with arc phenomena. Therefore, a band pass filter with a frequency from 2.4 to 39 kHz was designed, which can extract arc signals while eliminating the AC mains current and noise generated in loads. By investigating the arc signal energy as well as the arc pulse counts that were important parameters of arc occurrence, an arc diagnosis algorithm was developed based on LabVIEW program for electrical fire prevention.
Highlights
According to the Korea National Fire Data System, more than 40,000 fire accidents happened every year from 2010 to 2016, causing enormous financial losses and human injuries and deaths
By investigating the arc signal energy as well as the arc pulse counts that were important parameters of arc occurrence, an arc diagnosis algorithm was developed based on LabVIEW program for electrical fire prevention
The arc fault circuit interrupter described in the Underwriters Laboratories (UL) 1699 and the arc fault detection devices described in the International Electrotechnical Commission (IEC) 62606 are introduced to mitigate the effects of arc [5,6,7]
Summary
According to the Korea National Fire Data System, more than 40,000 fire accidents happened every year from 2010 to 2016, causing enormous financial losses and human injuries and deaths. The arc fault circuit interrupter described in the Underwriters Laboratories (UL) 1699 and the arc fault detection devices described in the International Electrotechnical Commission (IEC) 62606 are introduced to mitigate the effects of arc [5,6,7]. They operate to de-energize the circuit when an arc fault is detected. In this paper, to improve arc detection sensitivity and to prevent arc-caused fires in advance, an optimal series arc detection filter was designed based on the analysis of arc characteristics. An arc diagnosis algorithm was developed by analyzing the filtered arc signal energy and arc pulse count
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