Electrical power systems are critical infrastructures that require uninterrupted and stable operation. Faults in transmission lines, transformers, and distribution networks can lead to severe outages, equipment damage, and economic losses. Traditional fault detection methods rely on signal processing and rule-based techniques, which may lack accuracy in complex and dynamic environments. With recent advancements in Artificial Intelligence (AI), particularly machine learning and deep learning, fault detection has become more efficient, adaptive, and accurate. This paper explores the role of AI in fault detection within electrical power systems, highlighting its methodologies, advantages, challenges, and future prospects.

Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Fault Detection, Power Systems, Smart Grid, Transmission Lines, Predictive Maintenance, Neural Networks, Renewable Energy Integration, Real-Time Monitoring.