Journal of Electrical Power System Engineering and Technology ISSN: 3107-8532 (Online)

Author: Sanjay Menon

Abstract: As electrical distribution systems grow in complexity, fault detection and diagnosis have become critical for ensuring system reliability and minimizing downtime. This paper explores the application of artificial intelligence (AI) in fault detection for electrical distribution networks. By utilizing machine learning algorithms such as decision trees, support vector machines (SVM), and artificial neural networks (ANN), the study aims to develop an intelligent fault detection model that can identify faults in real time. The paper includes extensive testing of the proposed model using historical data from electrical networks, demonstrating AI's potential to enhance fault detection accuracy and response times.

Keywords: Artificial Intelligence, Fault Detection, Electrical Distribution Systems, Machine Learning, Real-Time Monitoring