This paper focuses on the development of a remote-control system for an induction motor, utilizing IoT technology for fault detection and monitoring. We aim to address the challenges associated with motor lifespan identification and motor starter selection by developing an autotransformer starter-based remote-control system with an IoT application. Previous research findings indicated autotransformer starters offer lower expected starting currents than Direct-On-Line (DOL) starters. Although the autotransformer starter produces slower motor speeds at startup due to the reduced voltage, it gradually restores the voltage to normal levels once stable operation is achieved. This paper proposed an induction motor control system incorporating various sensors to measure key parameters such as voltage, current, RPM and distance. The data is processed by the ESP32 microcontroller and transmitted to the Favoriot IoT platform for analysis and visualization. The system is upgraded to incorporate smart switches controlled by smartphones, providing enhanced control and monitoring capabilities. Through the IoT system, information data on motor status can be transmitted to smartphones via the Favoriot platform. The outcomes of this project include improved operational efficiency, reduced downtime and cost savings of a remote-control system for three-phase induction motors, utilizing autotransformer starters.
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