S. Ramana K. Joga, Pampa Sinha, Manoj K. Maharana, Dwarkadas P. Kothari, and Chitralekha Jena

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  1. [1] S.K. Lau and S.K. Ho, Open-circuit fault detection in distribution overhead power supply network, Journal of International Council on Electrical Engineering, 7(1), 2017, 269–275.
  2. [2] X. Qin, P. Wang, Y. Liu, L. Guo, G. Sheng, and X. Jiang, Research on distribution network fault recognition method based on time-frequency characteristics of fault waveforms, IEEE Access, 6, 2017, 7291–7300.
  3. [3] P. Moore, P. Walker, N. Gray, and A. Park, Location of arc faults on 11 kV overhead lines using radiometry, CIRED Open Access Proceedings Journal, 2017(1), 2017, 1283–1286.
  4. [4] S. Das, S. Kulkarni, N. Karnik, and S. Santoso, Distribution fault location using short-circuit fault current profile approach, IEEE Power & Energy Society General Meeting, 2011, 1–7.
  5. [5] O. V¨ah¨am¨aki, S. Sauna-aho, S. Hnninen, and M. Lehtonen, A new technique for short circuit fault location in distribution networks, CIRED 2005 – 18th International Conference and Exhibition on Electricity Distribution, 2005, pp. 1–5, doi: 10.1049/cp:20051187.
  6. [6] N. Huang et al., Short-circuit fault detection and classification using empirical wavelet transform and local energy for electric transmission line, Sensors (Switzerland), 17(9), 2017, 1–24.
  7. [7] J.C.J. Theron, A. Pal, and A. Varghese, Tutorial on high impedance fault detection, 71st Annual Conference for Protective Relay Engineers, CPRE 2018, vol. 2018-January, (College Station, Texas, USA, 2018), 1–23.
  8. [8] Z. Chen et al., A data-driven ground fault detection and isolation method for main circuit in railway electrical traction system, ISA Transactions, 87, 2019, 264–271.
  9. [9] R.K. Joga S, P. Sinha, and M.K. Maharana, Artificial intelligence in classifying high impedance faults in electrical power distribution system (August 1, 2019). Proceedings of International Conference on Recent Trends in Computing, Communication & Networking Technologies (ICRTCCNT) 2019, Available at SSRN: or
  10. [10] H.H. Goh et al., Fault location techniques in electrical power system: A review, Indonesian Journal of Electrical Engineering and Computer Science, 8(1), 2017, 206–212.
  11. [11] R. Farhana Ferdous, Zone protection system of transmission line by distance relay using Matlab/Simulink, International Conference on Advancement in Electrical and Electronic Engineering, 2018, Gazipur, Bangladesh, 073–077.
  12. [12] A. Kumar and P. Hansen, Digital bus-zone protection, IEEE Computer Applications in Power, 06(04), 1993, 29–34.
  13. [13] S.A. Gafoor, N.R. Devi, and P.V. Ramana Rao, A transient current based bus zone protection scheme using wavelet transform, 2008 IEEE International Conference on Sustainable Energy Technologies, 2008, Singapore, pp. 1195–1199.
  14. [14] W. Fan and Y. Liao, Wide area measurements based fault detection and location method for transmission lines, Protection and Control of Modern Power Systems, 4(7), 2019, 1–12.
  15. [15] I.W. Selesnick, R.G. Baraniuk, and N.G. Kingsbury, The dual-tree complex wavelet transform c , November 2005, 123–151.
  16. [16] K.S. Tang, K.F. Man, S. Kwong, and Q. He, Genetic algorithms and their applications, IEEE Signal Processing Magazine, November 1996, 22–37.
  17. [17] S. Su, J. Liu, H. Xiao, and D. Jiang, Expert system for wide area protection zone selection, Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference, (Dalian, China, 2005), 1–3.
  18. [18] C.J.C. Burges, A tutorial on support vector machines for pattern recognition (Kluwer Acad. Publ., 1997), 1–43.
  19. [19] M. Awad and R. Khanna, Support vector machines for classification, Efficient Learning Machines (Springer Link, 2015), 39–66.
  20. [20] S. Visa, B. Ramsay, A. Ralescu, and E. Van Der Knaap, Confusion matrix-based feature selection, CEUR Workshop Proceedings, 710, 2011, 120–127. 8

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