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{ "item_title" : "Transmission Line Fault Detection Using Iot", "item_author" : [" Loganathan N", "Selvanayakam A", "Aarthi N "], "item_description" : "This proposed presents an IoT-based single-phase transmission line fault detection system that enables real- time monitoring and automated fault diagnosis.The proposed system consists of an ESP32 microcontroller, current and voltage sensors, and a cloud-based platform for remote data access. The sensors continuously measure electrical parameters, and the ESP32 processes this data to identify abnormalities. When a fault is detected, the system sends real-time alerts to a Firebase database or an IoT dashboard, allowing utility operators to take immediate corrective action. Additionally, a web or mobile application provides remote access to fault data, improving response efficiency. This IoT-driven approach enhances the reliability of power distribution networks by enabling early fault detection, remote monitoring, and reduced downtime. The system is scalable, cost-effective, and energy-efficient, making it a viable solution for modernizing fault detection in single-phase power systems.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/6/20/938/440/6209384404_b.jpg", "price_data" : { "retail_price" : "51.00", "online_price" : "51.00", "our_price" : "51.00", "club_price" : "51.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Transmission Line Fault Detection Using Iot|Loganathan N

Transmission Line Fault Detection Using Iot

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Overview

This proposed presents an IoT-based single-phase transmission line fault detection system that enables real- time monitoring and automated fault diagnosis.The proposed system consists of an ESP32 microcontroller, current and voltage sensors, and a cloud-based platform for remote data access. The sensors continuously measure electrical parameters, and the ESP32 processes this data to identify abnormalities. When a fault is detected, the system sends real-time alerts to a Firebase database or an IoT dashboard, allowing utility operators to take immediate corrective action. Additionally, a web or mobile application provides remote access to fault data, improving response efficiency. This IoT-driven approach enhances the reliability of power distribution networks by enabling early fault detection, remote monitoring, and reduced downtime. The system is scalable, cost-effective, and energy-efficient, making it a viable solution for modernizing fault detection in single-phase power systems.

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Details

  • ISBN-13: 9786209384400
  • ISBN-10: 6209384404
  • Publisher: LAP Lambert Academic Publishing
  • Publish Date: December 2025
  • Dimensions: 9 x 6 x 0.14 inches
  • Shipping Weight: 0.21 pounds
  • Page Count: 60

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