Authors: Dr. Karthik P. Nair, Anjali R. Menon
Abstract: Fault detection in electrical circuits is a critical aspect of ensuring system reliability, safety, and efficiency. Artificial Intelligence (AI) techniques, including machine learning, deep learning, and hybrid models, are increasingly applied to automate fault detection, diagnosis, and prediction. This paper presents a comprehensive review of AI based fault detection methodologies in electrical circuits, covering signal processing techniques, feature extraction, classification algorithms, and hybrid approaches. Applications in power systems, motor drives, and industrial automation are discussed. Indian research contributions, case studies, and practical implementations are highlighted. Tables and 2D figures illustrate fault detection workflows, algorithm performance, and circuit-level implementations.
Keywords: AI, Fault detection, Electrical circuits, Machine learning, Deep learning, Predictive maintenance, Motor drives
Full Issue
| View or download the full issue | PDF 8-13 |