IoT-Based Smart Maintenance for Induction Motors

Abstract

The Internet of Things (IoT) is playing a crucial role in technological advancements, especially in automation, by enabling seamless monitoring and control to boost efficiency. By tracking essential operational parameters, IoT technology can be leveraged to supervise and diagnose the health of induction motors. The proposed approach involves an IoT-driven system designed to collect, analyse, and store motor data on a cloud platform, making it accessible through a web interface. If predefined thresholds are surpassed, immediate actions can be taken to minimize downtime, ultimately enhancing productivity and reducing costs. Key advantages of this system include continuous equipment monitoring, real-time notifications, and predictive maintenance to mitigate unexpected failures.