Fault Detection and Protection of Induction Motor

Abstract

Induction motors are extensively used in industrial and domestic applications due to their simplicity, reliability, and efficiency. However, these motors are vulnerable to faults such as over-voltage, under-voltage, over-current, and overheating, which can lead to severe damage and reduced lifespan if not detected promptly. This project presents a smart system for fault detection and protection of an induction motor using an ESP32-based IoT platform. The proposed system continuously monitors important parameters such as voltage, current, and temperature using sensors like ZMPT101B, ACS712, and DS18B20. The ESP32 microcontroller processes these parameters and compares them with predefined threshold limits to identify abnormal conditions. When a fault is detected, the system automatically disconnects the motor through a relay, thereby ensuring protection. In addition, the system enables real-time monitoring and control using the Blynk IoT platform, allowing users to view data and receive alerts remotely. An LCD display is used for local monitoring of parameters and system status. The system is cost-effective, reliable, and enhances the safety and lifespan of the induction motor.

Introduction

This work presents a smart IoT-based fault detection and protection system for induction motors using embedded sensing and real-time monitoring.

Induction motors are widely used in industrial and domestic applications, but they are prone to faults such as over-voltage, under-voltage, over-current, and overheating, which can cause serious damage if not detected early. Traditional protection systems like relays and circuit breakers do not provide real-time monitoring or remote access, leading to delayed fault detection.

To solve this, the study proposes a system based on the ESP32, which continuously monitors motor parameters using sensors:

• Voltage: ZMPT101B
• Current: ACS712
• Temperature: DS18B20

These readings are processed in real time and compared with predefined threshold limits. If abnormal conditions are detected, the system automatically disconnects the motor using a relay to prevent damage.

The system also integrates the **Blynk app, allowing users to remotely monitor voltage, current, temperature, receive alerts, and control the motor from anywhere. Real-time data is also displayed locally on an LCD.

The methodology includes:

• Continuous data acquisition from sensors
• Signal processing using RMS and averaging techniques
• Fault detection logic based on threshold values
• Automatic protection via relay switching
• IoT-based remote monitoring

Key fault conditions identified include:

• Voltage > 250V or < 180V
• Current > 2A
• Temperature > 60°C

Conclusion

The proposed system provides an efficient and reliable solution for fault detection and protection of induction motor by continuously monitoring key parameters such as voltage, current, and temperature. By integrating sensors with the ESP32 microcontroller and IoT technology, the system enables real-time monitoring, automatic fault detection, and remote control through the Blynk platform. The use of a relay ensures immediate disconnection of the motor during abnormal conditions, thereby preventing damage and enhancing safety. Overall, the system is cost-effective, easy to implement, and significantly improves the performance, reliability, and lifespan of induction motors.

References

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Copyright

Copyright © 2026 Rutik Bhausaheb Padol, Krushna Vinod Hatkar, Shubham Balasaheb Aher. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.