The objective of this system is to monitor the vibration of an induction motor in real time using IoT-based sensors. It aims to detect abnormal vibration patterns that may indicate faults or mechanical issues. The system enables early fault diagnosis to prevent motor failure and reduce maintenance costs. Additionally, it supports remote monitoring and improves the reliability and efficiency of industrial operations.
Industrial motors play a vital role in modern automation systems, making continuous condition monitoring essential for preventing unexpected failures and improving operational efficiency. This presents an IoT-Based Real-Time Induction Motor Vibration Monitoring System for monitoring motor health and detecting abnormal operating conditions. The proposed system uses an Arduino microcontroller integrated with vibration, temperature, and humidity sensors to continuously monitor motor parameters in real time. A DC motor is used to represent the induction motor for experimental implementation. The system also includes an LCD display for live parameter visualization and a buzzer alert mechanism for fault indication. If abnormal vibration or temperature conditions are detected, the motor automatically stops and the buzzer is activated to prevent possible damage. A NodeMCU module is used for IoT-based cloud uploading, enabling continuous remote monitoring and data analysis. The complete system is powered using a 12V adapter power supply. The proposed system provides real-time fault detection, improves motor safety, reduces maintenance efforts, and supports predictive monitoring through IoT technology, making it suitable for smart industrial automation applications.
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