A STUDY ON FAULT DETECTION TECHNIQUES AND CLASSIFICATION ALGORITHMS IN AN OVERHEAD TRANSMISSION LINES

Authors

  • Nadeem Ahmed Tunio
  • Fatima Tul Zuhra
  • Mohsin Ali Tunio
  • Muhammad Amir Raza

Keywords:

Power system faults; transmission lines; fault current; fault detection; fault classification

Abstract

Transmission lines are very important , vulnerable and exposed part of power system. Continuity of power supply depends on fault free status of transmission lines. Therefore need is to device a robust fault detection and fault classification mechanism with digital relaying system , so as to distinguish between normal and faulty phases and further more to isolate the faulty lines from the rest of grid and further to carry the restoration work quickly .  This review provides thourogh overview of various signal processing tools for feature extraction from fault signal keeping FACTS-connected transmission lines considering cross-country and evolving faults . Various fault classification techniques have also been detailed in the context of their fault classification accuracy, memory requirement and computation time , long term depencies , vanishing gradient and receptive field. This literature survey would help researchers to get insight to select an appropriate technique for fault detection and classification in overhead power transmission lines.

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Published

2026-01-31

How to Cite

Nadeem Ahmed Tunio, Fatima Tul Zuhra, Mohsin Ali Tunio, & Muhammad Amir Raza. (2026). A STUDY ON FAULT DETECTION TECHNIQUES AND CLASSIFICATION ALGORITHMS IN AN OVERHEAD TRANSMISSION LINES. Spectrum of Engineering Sciences, 4(1), 833–862. Retrieved from https://thesesjournal.com/index.php/1/article/view/1937