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#EPP111 IoT-Enhanced Fault Detection for Single-Phase Induction Motors

IoT-Enhanced Fault Detection for Single-Phase Induction Motors

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Project Duration:15 Days

IoT-Enhanced Fault Detection for Single-Phase Induction Motors

Introduction

The IoT-Enhanced Fault Detection System for Single-Phase Induction Motors is designed to monitor motor operating conditions and identify potential faults using sensors and IoT technology. The system can monitor parameters such as temperature, current, and vibration to detect abnormal operating conditions. A microcontroller processes the sensor data and sends it to an IoT platform for remote monitoring and alerts. This project aims to improve motor maintenance, operational reliability, and fault awareness.

Objectives

  • To develop an IoT-based motor monitoring system.

  • To monitor motor temperature, current, and vibration.

  • To identify abnormal operating conditions.

  • To provide remote monitoring and fault alerts.

  • To reduce unexpected motor downtime.

  • To improve maintenance efficiency and reliability.

Methodology

  • Designing the system and preparing the block and circuit diagrams.

  • Selecting sensors and a suitable microcontroller.

  • Integrating the sensors with a single-phase induction motor.

  • Connecting the controller to an IoT platform for data monitoring.

  • Testing the system under normal and simulated fault conditions.

Instrument List

  • Single-Phase Induction Motor

  • ESP32 / NodeMCU

  • Current Sensor

  • Temperature Sensor

  • Vibration Sensor

  • Relay Module (if used)

  • IoT Monitoring Platform

  • Power Supply

  • Connecting Wires and PCB

Working Principle

  • Sensors continuously measure the motor's operating parameters.

  • The microcontroller collects and processes the sensor readings.

  • The system compares the readings with predefined threshold values.

  • When abnormal conditions are detected, the system generates an alert.

  • IoT connectivity allows users to monitor motor conditions remotely.

  • Stored readings can help identify performance changes and support maintenance planning.

Advantages

  • Real-Time Motor Monitoring

  • IoT-Based Remote Access

  • Early Fault Detection Support

  • Temperature and Current Monitoring

  • Vibration-Based Condition Analysis

  • Instant Abnormality Alerts

  • Reduced Unexpected Downtime

  • Improved Maintenance Planning

  • Enhanced Operational Reliability

  • Cost-Effective Prototype

Conclusion

The IoT-Enhanced Fault Detection System demonstrates how sensor technology and IoT connectivity can support condition monitoring of single-phase induction motors. By tracking temperature, current, and vibration, the system can identify abnormal operating patterns and notify users for further inspection. With proper calibration and testing, it can support predictive maintenance and help improve motor reliability..



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