Smart monitoring: IOT enhanced fault detection techniques for single-phase induction motor

Abstract

"Faults in single-phase induction motors, commonly used in domestic and industrial applications, can lead to reduced efficiency, downtime, and increased maintenance costs. This project explores the development of an IoT-based system to detect and diagnose motor faults in real time. The system uses sensors to monitor critical parameters such as speed, voltage, current, vibration, and temperature the system provides intelligent analysis for fault detection. The proposed solution is scalable, cost-effective, enabling timely interventions and reducing operational disruptions. Additionally, it aligns with sustainable practices by improving energy efficiency and minimizing waste. This approach enhances motor reliability, extends equipment lifespan, and contributes to advancements in industrial automation and maintenance strategies. "