P. Muller, S. Tenbohlen, R. Maier, and M. Anheuser, Characteristics of series and parallel low current arc faults in the time and frequency domain, Proceedings of the 56th IEEE Holm Conference on Electrical Contacts, pp.1-7, 2010.

B. Jieqiu, Z. Yi, D. Zhiqiang, and Z. Hongqiang, Arc fault identification method based on fractal theory and SVM, 2014 International Conference on Power System Technology, pp.1182-1187, 2014.

K. Yang, R. Zhang, J. Yang, C. Liu, S. Chen et al., A Novel Arc Fault Detector for Early Detection of Electrical Fires, Sensors, 2016.

R. Zhang, K. Yang, Q. Wu, and J. Yang, Research on Low-voltage Arc Fault Detection Based on BP Neural Network, Applied Mechanics and Materials, pp.499-502, 2014.

L. Yu-wei, W. Chi-jui, and W. Yi-chieh, Detection of serial arc fault on low-voltage indoor power lines by using radial basis function neural network, pp.149-157, 2016.

S. Jovanovic, A. Chahid, J. Lezama, and P. Schweitzer, Shunt active power filter-based approach for arc fault detection, Electric Power Systems Research, vol.141, pp.11-21, 2016.

C. Wu, Y. Liu, and C. Hung, Intelligent Detection of Serial Arc Fault On Low Voltage Power Lines, Journal of Marine Science and Technology, vol.25, pp.43-53, 2017.

A. T. Renjini-raveeendran, Series Arc Fault Detection Using Discrete Wavelet Transform, International Journal of Science and Research, 2014.

J. Lezama, P. Schweitzer, E. Tisserand, J. Humbert, S. Weber et al., An embedded system for AC series arc detection by inter-period correlations of current, Electric Power Systems Research, vol.129, pp.227-234, 2015.
URL : https://hal.archives-ouvertes.fr/hal-02337914

N. Hadziefendic and Z. Radakovic, Detection of series arcing in low-voltage electrical installations, European Transactions on Electrical Power, pp.423-432, 2009.

C. Restrepo and J. Henson, Systems, devices, and methods for detecting arcs, US Patent US7110864B2, 1983.

G. Artale, A. Cataliotti, V. Cosentino, D. D. Cara, S. Nuccio et al., Arc Fault Detection Method Based on CZT Low-Frequency Harmonic Current Analysis, IEEE Transactions on Instrumentation and Measurement, vol.66, pp.888-896, 2017.

S. Zhang, F. Zhang, P. Liu, and Z. Han, Identification of Low Voltage AC Series Arc Faults by using Kalman Filtering Algorithm, Elektronika ir Elektrotechnika , ISSN, vol.5, 2014.

H. Guan, B. Wang, Z. Zhao, S. Bimenyimana, and Q. ,

. Wang, Arc fault Current's Power Spectrum Characteristics and Diagnosis Based on Welch Algorithm, International Journal of Engineering Science and Computing, vol.6, 2016.

T. A. Kawady, N. I. Elkalashy, A. E. Ibrahim, and A. I. Taalab, Arcing Fault Identification using combined Gabor Transform-neural network for transmission lines, Electrical Power and Energy System, pp.248-258, 2014.

Y. Wang, F. Zhang, and S. Zhang, A New Methodology for Identifying Arc Fault by Sparse Representation and Neural Network, IEEE Transactions on Instrumentation and Measurement, vol.67, pp.2526-2537, 2018.

K. Yang, R. Zhang, S. Chen, F. Zhang, J. Yang et al., Series Arc Fault Detection Algorithm Based on Autoregressive Bispectrum Analysis, Algorithms, vol.8, pp.929-950, 2015.

S. Lesecq and A. Barraud, Arcing Fault Detection Using Wavelet Transform, IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, vol.36, pp.345-350, 2003.

C. R. , Arc fault detection using fuzzy logic, US Patent, vol.8, pp.54-592, 0811.

Y. Liu, F. Guo, Z. Ren, P. Wang, T. N. Nguyen et al., Feature Analysis in Time-domain and Fault Diagnosis of Series Arc Fault, IEEE Holm Conference on Electrical Contacts, pp.306-311, 2017.

C. E. Restrepo, Arc Fault Detection and Discrimination Methods, Electrical Contacts -2007 Proceedings of the 53rd IEEE Holm Conference on Electrical Contacts, pp.115-122, 2007.

P. Qi, S. Jovanovic, J. Lezama, and P. Schweitzer, Discrete Wavelet Transform Optimal Parameters Estimation for Arc Fault Detection in Low-voltage Residential Power Networks, Electrical Power Systems Research, pp.130-139, 2017.

J. Tang, S. Alelyani, and H. Liu, Feature Selection for Classification: A Review, Data Classification: Algorithms and Applications, 2014.

G. Isabelle and E. Andre, An Introduction to Variable and Feature Selection, Journal of Machine Learning Research, pp.1157-1182, 2003.

J. C. Ang, A. Mirzal, H. Haron, and H. N. Hamed, Supervised, Unsupervised, and Semi-Supervised Feature Selection: A Review on Gene Selection, IEEE Transactions on Computational Biology and Bioinformatics, vol.13, pp.971-989, 2016.

M. M. Christiansen, K. R. Duffy, F. D. Calmon, and M. Medard, Brute force searching, the typical set and Guesswork, IEEE International Symposium on Information Theory, pp.1257-1261, 2013.

P. Somol, P. Pudi, and J. Kittler, Fast Branch & Bound Algorithms for Optimal Feature Selection, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.26, pp.900-912, 2004.

A. A. Naeini, M. Babadi, S. M. Mirzadeh, and S. ,

. Amini, Particle Swarm Optimization for Object-Based Feature Selection of VHSR Satellite Images, IEEE Geoscience and Remote Sensing Letters, vol.15, pp.379-383, 2018.

X. Liu, Y. Liang, S. Wang, Z. Yang, and H. Ye, A Hybrid Genetic Algorithm with Wrapper-Embedded Approaches for Feature Selection, IEEE Access, vol.6, pp.22863-22874, 2018.

R. Webster, Useful AI tools-a review of heuristic search methods, IEEE Potentials, pp.51-54, 1991.

L. J. , O. S. , and -. , Feature selection based on geometric distance for high-dimensional, Electronics Letters, vol.52, pp.473-475, 2016.

J. Lezama, P. Schweitzer, S. Weber, E. Tisserand, and P. Joyeux, Arc Fault Detection Based on Temporal Analysis, IEEE 60th Holm Conference on Electrical Contacts, pp.1-5, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01397812

L. Yu and H. Liu, Efficient Feature Selection via Analysis of Relevance and Redundancy, Journal of Machine Learning Research, pp.1205-1224, 2004.