Title :
Arc fault detection based on temporal analysis
Author :
Lezama, J. ; Schweitzer, P. ; Weber, S. ; Tisserand, E. ; Joycux, P.
Author_Institution :
Inst. Jean Lamour MAE 406, Univ. de Lorraine, Nancy, France
Abstract :
This article describes arc faults detection methods based on the temporal analysis of electric lines current signatures. We first give the, specifications of the domestic loads under test. Then, we describe the methods under test: crest factor, average value, variance, adaptive filter and mathematics moments. In the second part, these methods are implemented on MATLAB - Simulink. The analysis is done on the current for each period half cycle. The ability of arc faults detection is then presented for each algorithm.
Keywords :
adaptive filters; arcs (electric); electrical safety; fault diagnosis; adaptive filter; arc fault detection; average value; crest factor; domestic loads; electric lines current signature; mathematics moments; temporal analysis; Adaptive filters; Algorithm design and analysis; Equations; Fault detection; Kalman filters; Mathematical model; detection; series arc fault; time analysis;
Conference_Titel :
Electrical Contacts (Holm), 2014 IEEE 60th Holm Conference on
Conference_Location :
New Orleans, LA
DOI :
10.1109/HOLM.2014.7031017