IoT-Based Overvoltage, Overcurrent, and Over-Temperature Fault Detector in Industries

Bhimrao Neharkar*, Shubham Patil**, Sushmita A. Sarkar***, Shubham Tekam****
*-**** Department of Electrical Engineering, Kolhapur Institute of Technology's College of Engineering (Autonomous), Kolhapur, India.
Periodicity:January - June'2023

Abstract

Electrical faults such as overvoltage, overcurrent, and over-temperature can lead to serious damage to equipment and pose a safety risk to personnel. To address these issues, the Internet of Things (IoT)-based fault detection system has been proposed. The system utilizes IEEE standards for communication and data transfer and includes sensors for detecting over voltage, over current, and overtemperature, as well as a breaker trip detection mechanism and relay for isolating faulty equipment. The system is designed to continuously monitor the electrical parameters of equipment and provide real-time notifications of any faults detected. It also incorporates a fault management module that can prioritize and alert personnel of critical faults. The proposed IoT-based fault detection system provides a reliable and efficient solution for detecting and managing electrical faults in the industrial sector. It has the potential to reduce equipment damage, increase safety, and improve operational efficiency.

Keywords

Over Voltage, Over Current, Humidity Detection, Over Temperature, Breaker Trip Detections, MCB Detect.

How to Cite this Article?

Neharkar, B., Patil, S., Sarkar, S. A., and Tekam, S. (2023). IoT-Based Overvoltage, Overcurrent, and Over-Temperature Fault Detector in Industries. i-manager’s Journal on IoT and Smart Automation, 1(1), 1-6.
If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Single Article

North Americas,UK,
Middle East,Europe
India Rest of world
USD EUR INR USD-ROW
Pdf 40 40 300
Online 40 40 300
Pdf & Online 40 40 300

Options for accessing this content:
  • If you would like institutional access to this content, please recommend the title to your librarian.
    Library Recommendation Form
  • If you already have i-manager's user account: Login above and proceed to purchase the article.
  • New Users: Please register, then proceed to purchase the article.