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[6] Sekar, K., and Mohanty, N.K., "A fuzzy rule base approach for High Impedance Fault detection in distribution system using Morphology Gradient filter", J. King Saud Univ. Eng. Sci, Vol. 32, No. 3, pp. 177-185, 2020. [ DOI:10.1016/j.jksues.2018.12.001] 7. [7] Kavaskar. S., and Mohanty, N.K., "Detection of high impedance fault in distribution networks", Ain Shams Engineering Journal, vol. 10, no. 1, pp. 5-13, 2019. [ DOI:10.1016/j.asej.2018.04.006] 8. [8] S. Silva, P. Costa, M. Sanatana and D. Leite, "Evolving neuro fuzzy network for real-time high impedance fault detection and classification," Neural Computing and Applications, vol. 32, no. 12, pp. 7597-7610, 2020. [ DOI:10.1007/s00521-018-3789-2] 9. [9] Sekar, K., and Mohanty, N.K., "Data mining-based high impedance fault detection using mathematical morphology", Comput. Electr. Eng, Vol. 69, pp. 129-141, 2018. [ DOI:10.1016/j.compeleceng.2018.05.010] 10. 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Q., Prakash, A., Tayal, V. K., and Choudekar, P., "High Impedance Fault Analysis of Distributed Power System Network Using Discrete Wavelet Transform", In Advances in Smart Communication and Imaging Systems,Springer, Singapore, pp.561-576, 2021. [ DOI:10.1007/978-981-15-9938-5_53] 15. [15] Gadanayak, D.A., and Mallick, R.K., "Interharmonics based high impedance fault detection in distribution systems using maximum overlap wavelet packet transform and a modified empirical mode decomposition", Int. J. Electr. Power Energy Syst, Vol. 112, pp. 282-293, 2019. [ DOI:10.1016/j.ijepes.2019.04.050] 16. [16] Silva, S., Costa, P., Gouvea, M., Lacerda, A., Alves, F., and Leite, D., "High impedance fault detection in power distribution systems using wavelet transform and evolving neural network", Electr. Power Syst, Vol. 154, pp. 474-483, 2018. [ DOI:10.1016/j.epsr.2017.08.039] 17. [17] Moravej, Z., Mortazavi, S.H., and Shahrtash, S.M., "DT‐CWT based event feature extraction for high impedance faults detection in distribution system", Int Trans. Electr. Energ. Syst, Vol. 25, No. 12, pp. 3288-3303, 2015. [ DOI:10.1002/etep.2035] 18. [18] Sarlak, M., and Shahrtash, S.M., "High impedance fault detection using combination of multi-layer perceptron neural networks based on multi-resolution morphological gradient features of current waveform", IET. Gener. Transm. Dis, Vol. 5, No. 5, pp. 588 - 595, 2011. [ DOI:10.1049/iet-gtd.2010.0702] 19. [19] AsghariGovar. S., Pourghasem. P., and Seyedi. H., "High impedance fault protection scheme for smart grids based on WPT and ELM considering evolving and cross-country faults", Int. J. Electr. Power Energ Syst, vol. 107, pp. 412-421, 2019. [ DOI:10.1016/j.ijepes.2018.12.019] 20. [20] Ghaderi, A., Mohammadpour, H.A., Ginn, H.L., and Shin, Y.J., "High-impedance fault detection in the distribution network using the time-frequency-based algorithm", IEEE Trans. Power Delivery., Vol. 30, No. 3, pp. 1260 - 1268, 2015. [ DOI:10.1109/TPWRD.2014.2361207] 21. [21] Mortazavi, S.H., Moravej, Z., and Shahrtash, S.M., "A hybrid method for arcing faults detection in large distribution networks", Int. J. Electr. Power Energ Syst, Vol. 94, pp. 141-150, 2018. [ DOI:10.1016/j.ijepes.2017.06.036] 22. [22] Mohammadnian, Y., Amraee, T., and Soroudi, A., "Fault detection in distribution networks in presence of distributed generations using a data mining-driven wavelet transform", IET Smart Grid, Vol. 2, No. 2, pp. 163-171, 2019. [ DOI:10.1049/iet-stg.2018.0158] 23. [23] Cui, Q., and Weng, Y., "Enhance High Impedance Fault Detection and Location Accuracy via $mu $-PMUs", IEEE Trans. Smart Grid, Vol. 11, No. 1, pp. 797 - 809, 2020. [ DOI:10.1109/TSG.2019.2926668] 24. [24] Vapnik. V., and Chervonenkis. A., "The necessary and sufficient conditions for consistency in the empirical risk minimization method", Pattern Recogn Image Anal, vol. 1, no. 3, pp. 283 - 305, 1991. 25. [25] Distribution Test Feeders, IEEE PES Distribution System Analysis Subcommittee's, Distribution Test Feeder Working Group, August 2013. 26. [1] Gadanayak, D. A. A Review on High-Impedance Ground Fault Detection Techniques in Distribution Networks. Green Technology for Smart City and Society, pp. 299-309.2021. [ DOI:10.1007/978-981-15-8218-9_26] 27. [2] Tengdin, J., and Westfall, R., "High impedance fault detection technology", Report of PSRC Working Group D15, pp. 1-12, 1996. 28. [3] Benner, C.L., and Russell, B.D., "Practical high-impedance fault detection on distribution feeders", IEEE Trans. Ind. Appl, Vol. 33, No. 3, pp. 635-640, 1997. [ DOI:10.1109/28.585852] 29. [4] Mamishev, A. V., Russell, B. D., and Benner, C. L. "Analysis of high impedance faults using fractal techniques", IEEE Trans. Power Syst, vol. 11, no. 1, pp. 435-440, 1996. [ DOI:10.1109/59.486130] 30. [5] Ghaderi, A., Ginn III, H.L. and Mohammadpour, H.A., "High impedance fault detection: A review", Electr. Power Syst. Res., Vol. 143, pp. 376-388, 2017. [ DOI:10.1016/j.epsr.2016.10.021] 31. [6] Sekar, K., and Mohanty, N.K., "A fuzzy rule base approach for High Impedance Fault detection in distribution system using Morphology Gradient filter", J. King Saud Univ. Eng. Sci, Vol. 32, No. 3, pp. 177-185, 2020. [ DOI:10.1016/j.jksues.2018.12.001] 32. [7] Kavaskar. S., and Mohanty, N.K., "Detection of high impedance fault in distribution networks", Ain Shams Engineering Journal, vol. 10, no. 1, pp. 5-13, 2019. [ DOI:10.1016/j.asej.2018.04.006] 33. [8] S. Silva, P. Costa, M. Sanatana and D. Leite, "Evolving neuro fuzzy network for real-time high impedance fault detection and classification," Neural Computing and Applications, vol. 32, no. 12, pp. 7597-7610, 2020. [ DOI:10.1007/s00521-018-3789-2] 34. [9] Sekar, K., and Mohanty, N.K., "Data mining-based high impedance fault detection using mathematical morphology", Comput. Electr. Eng, Vol. 69, pp. 129-141, 2018. [ DOI:10.1016/j.compeleceng.2018.05.010] 35. [10] Aziz, M.A., Hassan, M.M., and Zahab, E.A., "High-impedance faults analysis in distribution networks using an adaptive neuro fuzzy inference system", Electr. Power. Compon. Syst, Vol. 40, No. 11, pp. 1300-1318, 2012. [ DOI:10.1080/15325008.2012.689418] 36. [11] Sahoo, S., and Baran, M.E., "A method to detect high impedance faults in distribution feeders", IEEE PES. Trans. Dis. Conf. Exposition, pp. 1-6, 2014. [ DOI:10.1109/TDC.2014.6863531] 37. [12] Zhang, S., Xiao, X., and He, Z., "Detection of high‐impedance fault in distribution network based on time-frequency entropy of wavelet transform", IEEJ Trans. Electr. Electron. Eng, Vol. 15, No. 6, pp. 844-853, 2020. [ DOI:10.1002/tee.23126] 38. [13] Biswal, M., Ghore, S., Malik, O. P., and Bansal, R. C., "Development of time-frequency based approach to detect high impedance fault in an inverter interfaced distribution system", IEEE Transactions on Power Delivery, Jan. 2021. [ DOI:10.1109/TPWRD.2021.3049572] 39. [14] Bhat, A. U. Q., Prakash, A., Tayal, V. K., and Choudekar, P., "High Impedance Fault Analysis of Distributed Power System Network Using Discrete Wavelet Transform", In Advances in Smart Communication and Imaging Systems,Springer, Singapore, pp.561-576, 2021. [ DOI:10.1007/978-981-15-9938-5_53] 40. [15] Gadanayak, D.A., and Mallick, R.K., "Interharmonics based high impedance fault detection in distribution systems using maximum overlap wavelet packet transform and a modified empirical mode decomposition", Int. J. Electr. Power Energy Syst, Vol. 112, pp. 282-293, 2019. [ DOI:10.1016/j.ijepes.2019.04.050] 41. [16] Silva, S., Costa, P., Gouvea, M., Lacerda, A., Alves, F., and Leite, D., "High impedance fault detection in power distribution systems using wavelet transform and evolving neural network", Electr. Power Syst, Vol. 154, pp. 474-483, 2018. [ DOI:10.1016/j.epsr.2017.08.039] 42. [17] Moravej, Z., Mortazavi, S.H., and Shahrtash, S.M., "DT‐CWT based event feature extraction for high impedance faults detection in distribution system", Int Trans. Electr. Energ. Syst, Vol. 25, No. 12, pp. 3288-3303, 2015. [ DOI:10.1002/etep.2035] 43. [18] Sarlak, M., and Shahrtash, S.M., "High impedance fault detection using combination of multi-layer perceptron neural networks based on multi-resolution morphological gradient features of current waveform", IET. Gener. Transm. Dis, Vol. 5, No. 5, pp. 588 - 595, 2011. [ DOI:10.1049/iet-gtd.2010.0702] 44. [19] AsghariGovar. S., Pourghasem. P., and Seyedi. H., "High impedance fault protection scheme for smart grids based on WPT and ELM considering evolving and cross-country faults", Int. J. Electr. Power Energ Syst, vol. 107, pp. 412-421, 2019. [ DOI:10.1016/j.ijepes.2018.12.019] 45. [20] Ghaderi, A., Mohammadpour, H.A., Ginn, H.L., and Shin, Y.J., "High-impedance fault detection in the distribution network using the time-frequency-based algorithm", IEEE Trans. Power Delivery., Vol. 30, No. 3, pp. 1260 - 1268, 2015. [ DOI:10.1109/TPWRD.2014.2361207] 46. [21] Mortazavi, S.H., Moravej, Z., and Shahrtash, S.M., "A hybrid method for arcing faults detection in large distribution networks", Int. J. Electr. Power Energ Syst, Vol. 94, pp. 141-150, 2018. [ DOI:10.1016/j.ijepes.2017.06.036] 47. [22] Mohammadnian, Y., Amraee, T., and Soroudi, A., "Fault detection in distribution networks in presence of distributed generations using a data mining-driven wavelet transform", IET Smart Grid, Vol. 2, No. 2, pp. 163-171, 2019. [ DOI:10.1049/iet-stg.2018.0158] 48. [23] Cui, Q., and Weng, Y., "Enhance High Impedance Fault Detection and Location Accuracy via $mu $-PMUs", IEEE Trans. Smart Grid, Vol. 11, No. 1, pp. 797 - 809, 2020. [ DOI:10.1109/TSG.2019.2926668] 49. [24] Vapnik. V., and Chervonenkis. A., "The necessary and sufficient conditions for consistency in the empirical risk minimization method", Pattern Recogn Image Anal, vol. 1, no. 3, pp. 283 - 305, 1991. 50. [25] Distribution Test Feeders, IEEE PES Distribution System Analysis Subcommittee's, Distribution Test Feeder Working Group, August 2013.
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