Induction Motor Fault Detection Using Iot

EasyChair Preprint 12496

Abstract

The "Induction Motor Fault Detection Using IoT" project seeks to improve industrial processes' dependability and effectiveness by putting into practice a state-of-the-art method for induction motor defect early detection. This project incorporates sensors and connectivity to monitor many induction motor parameters in real-time by utilizing the Internet of Things (IoT) technology. This project supports an intelligent and networked manufacturing environment by aligning with the industry 4.0 concept and optimizing industrial operations. The initiative aims to improve overall system reliability, save maintenance costs, and increase operational efficiency by proactively correcting motor defects. The adoption of this creative approach paves the way for a more resilient and sustainable industrial environment while demonstrating the potential of IoT to transform conventional industrial operations.

Keyphrases: Capacitors, ESP32 microcontroller, IR sensor Breadboard, IoT (Internet of Things), Resistors, Temperature sensor, current sensor, vibration sensor, voltage regulators

@booklet{EasyChair:12496,
  author    = {Minakshi Jadhav and Atharv Mahajan and Basavaraj Kalshetti and Nitesh Poojari},
  title     = {Induction Motor Fault Detection Using Iot},
  howpublished = {EasyChair Preprint 12496},
  year      = {EasyChair, 2024}}