Research on Series Arc Fault Characteristics Based on BSS and Harmonic Analysis
- DOI
- 10.2991/lemcs-15.2015.281How to use a DOI?
- Keywords
- Series arc fault; Blind source separation; Current distortion; Harmonic analysis; Harmonic ratio
- Abstract
Arc fault is one of the most important reasons of electrical fires. The common characteristics of series arc faults are always submerged in load currents which are acquired as mixed signals. It is difficult to extract useful arc fault characteristics through conventional approaches. Hence, novel approaches based on blind source separation and harmonic analysis are developed for characteristic research of series arc faults. At first, a low-voltage arc fault experimental platform was set up to generate arc faults of different loads, and a large number of load currents were acquired to analyze fault characteristics. When series arc faults occurred in circuits, currents would distort a little. Then, in order to obtain current minor changes, blind source separation (BSS) was used to separate distortions from observed mixed signals. Finally, common characteristics of series arc faults were found. The amplitudes of odd harmonic components in arc fault currents change rapidly. The total odd harmonic ratio fluctuates tempestuously with inconstancy but increases a lot. These harmonic characteristics provide very important bases for arc fault detection.
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Zheng Wang AU - Kai Yang AU - Fengming Huang AU - Qiuhong Chen AU - Shouhong Chen PY - 2015/07 DA - 2015/07 TI - Research on Series Arc Fault Characteristics Based on BSS and Harmonic Analysis BT - Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science PB - Atlantis Press SP - 1410 EP - 1415 SN - 1951-6851 UR - https://doi.org/10.2991/lemcs-15.2015.281 DO - 10.2991/lemcs-15.2015.281 ID - Wang2015/07 ER -