ARCHIVES

[1] J. A. M. Daang, A. M. Omas-as, and E. R. Arboleda, “Advancements in Fault Detection Techniques for Transmission Lines: A
Literature Review,” Preprints, 10.20944/preprints202405.0662.v2, May 2024.
[2] E. R. Arboleda, J. A. M. Daang, and A. M. Omas-as, “Advancements in Fault Detection Techniques for Transmission Lines: A
Literature Review,” Preprints, 10.20944/preprints202405.0662.v1, May 2024.
[3] H. Agarwal, R. S. Tiwari, and J. P. Sharma, “A Review of Signal Processing Techniques for Detection and Classification of Faults
in Transmission lines,” Proc. IEEE PARC, 10.1109/parc59193.2024.10486668, Feb. 2024.
[4] A. R. Jonnalagadda, B. Bogale, and A. Sisay, “Performance of Impedance and Traveling Wave-Based Algorithms on 400kV Transmission
Lines,” IJERT, vol. 6, no. 2, Jan. 2017.
[5] J. L. P. Sarmiento, J. C. D. Delfino, and E. R. Arboleda, “Machine Learning Advances in Transmission Line Fault Detection: A
Literature Review,” Preprints, 10.20944/preprints202405.0265.v1, May 2024.
[6] J. L. P. Sarmiento, J. C. D. Delfino, and E. R. Arboleda, “ML Advances in Fault Detection for Transmission Lines,” Int. J. Sci. Res.
Archive, vol. 12, no. 1, Jun. 2024.
[7] M. A. Hossain, R. Khan, and N. Islam, “Deep Learning Techniques for Transmission Line Fault Diagnosis: A Comparative
Evaluation,” Proc. IEEE ACMI, Jul. 2021, DOI: 10.1109/ACMI53878.2021.9528229.
[8] S. K. Singh and D. N. Vishwakarma, “Intelligent Techniques for Fault Diagnosis in Transmission Lines — An Overview,” Proc. IEEE
RDCAPE, Mar. 2015.
[9] S. M. Khan and A. H. M. Shatil, “Deep Learning-Based Fault Classification for High Voltage Transmission Line,” AIUB J. of Sci. and
Eng., Nov. 2022.
[10] K. Guerraiche, A. B. Abbou, and L. Dekhici, “Intelligent Fault Detection and Location in High-Voltage Transmission Lines,” Revue
Roumaine des Sci. Techniques, Sep. 2024.
[11] S. Kanwal and S. Jiriwibhakorn, “AI-Based Faults Identification, Classification, and Localization Techniques in Transmission Lines: A
Review,” IEEE Latin America Trans., vol. 21, no. 2, Dec. 2023.
[12] F. Chunguo and H. Hongshuang, “Signal Amplitude Based Rapid Accurate Fault Diagnosis System of High Voltage Transmission
Line,” Patent CN108770460A, Nov. 2018.
[13] M. Almusawi et al., “Fault Detection Using SAT-CNN for Transmission Lines,” Proc. IEEE ICDCECE, Apr. 2024, DOI:
10.1109/icd- cece60827.2024.10549566.
[14] C. Wang, X. Sun, and X. Sun, “A Survey on Fault Diagnosis and Forewarning Control in Transmission Lines,” Proc. ASTL, Apr. 2015.
[15] A. Elnozahy et al., “Fault Identification Using Fuzzy-Neuro-Fuzzy Systems in Transmission Lines,” Int. J. of Modelling and Simulation,
Oct. 2023.
[16] F. Hao et al., “Transmission Line Fault Diagnosis Using MPE and CS-SVM,” Proc. IEEE ICCECE, Jan. 2023.
[17] F. Hao, X. Yang, and G. Wang, “Machine Learning-Based Fault Phase Selection for HV Lines,” Proc. IEEE ICCECE, Jan. 2023.
[18] P. S. P. Eboule, J.-H. Pretorius, and N. Mbuli, “Neural Network Techniques for Fault Detection in Overhead Transmission Lines,” Proc.
IEEE AUPEC, Nov. 2018.
[19] L. Wei et al., “Waveform Matching Approach for Fault Diagnosis Using Harmony Search,” IET GTD, vol. 4, no. 10, Jun. 2010.
[20] R. K. Aggarwal et al., “A novel fault classification technique using SVM,” IEEE Power Engineering Review, vol. 21, no. 5, pp. 67–
73, 2001[21] M. R. Islam et al., “Deep learning based fault classification in power transmission,” IEEE Access, vol. 8, pp. 116237–116245, 2020.
[22] T. R. Babu and B. J. Mohan, “Fuzzy logic-based classification of faults in EHV lines,” Electric Power Systems Research, vol. 78, pp.
1516–1522, 2008.
[23] A. G. Phadke and J. S. Thorp, “Synchronized Phasor Measurements and Their Applications,” Springer, 2008.
[24] M. Kezunovic, “Wide-area monitoring, protection, and control (WAMPAC) systems: Concepts and trends,” Proc. IEEE, vol. 99, no. 1,
pp. 80–93, 2011.
[25] A. A. Sallam and O. P. Malik, “Electric Distribution Systems,” IEEE Press, 2018.
[26] Daggupati, V. Power quality disturbance classification in ieee 9-bus system using stft and deep learning. Dissertation (2025).