Fault Detection and Classification using Machine Learning

Abstract

Abstract: Machine learning plays a crucial role in predicting and clas- sifying faults in electrical power systems. The complexity and dynamic nature of these systems make them vulnerable to disturbances and elec- trical faults. Detecting faults in the circuit can aid in maintaining the system by preventing potential damage from occurring. It is particularly important to be able to locate faults in transmission lines to minimize power and revenue losses. In this study, MATLAB software will be uti- lized to simulate and locate faults in transmission lines. A transmission line model will be designed, and a fault toolbox will be employed to create various faults. These faults will be saved and used to train machine learning models to identify the best algorithm with high precision and accuracy.