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Induction Motor Fault Detection Using Iot

EasyChair Preprint no. 12496

5 pagesDate: March 14, 2024


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

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Minakshi Jadhav and Atharv Mahajan and Basavaraj Kalshetti and Nitesh Poojari},
  title = {Induction Motor Fault Detection Using Iot},
  howpublished = {EasyChair Preprint no. 12496},

  year = {EasyChair, 2024}}
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