A Review of Signal Processing Techniques for Detection and Classification of Faults in Transmission lines

In a contemporary power system, the prompt and precise removal of faults occurring on high-voltage transmission lines is of utmost importance. This research explores the categorization and pinpointing of faults in the protection of power transmission lines based on signal processing techniques. The paper reviews the effective, promising, and modern approaches for fault detection such as Machine learning (ML) and artificial intelligence (AI) methodologies. It also highlights the application of Wide Area Measurement (WAM), and Phasor Measurement Unit (PMU) in the protection of transmission lines.