UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 10 | October 2025

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Published in:

Volume 11 Issue 4
April-2024
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2404D01


Registration ID:
538185

Page Number

n1-n9

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Title

IOT BASED TRANSFORMER MONITORING SYSTEM

Abstract

The IoT-based Transformer Monitoring System (ITMS) represents a significant advancement in the field of electrical power distribution network management. Traditional methods of transformer monitoring often rely on periodic inspections, which can lead to unforeseen failures and downtime. ITMS addresses these challenges by leveraging Internet of Things (IoT) technology to provide real-time, remote monitoring of transformer health and performance. ITMS employs a network of sensors, including temperature, oil level, vibration, and current sensors, placed strategically on transformers. These sensors continuously gather data on various operating parameters, transmitting it to a central server. At the heart of the system, machine learning algorithms analyze this data to detect patterns, and anomalies, and predict potential failures. The system offers a user-friendly interface, allowing operators and maintenance personnel to remotely monitor transformer status, view historical trends, and receive alerts for any detected issues. The primary objective of ITMS is to improve grid reliability and efficiency. By providing real-time insights into transformer performance, operators can make informed decisions to optimize operation and prevent costly downtime. Predictive maintenance capabilities enable proactive servicing, extending the lifespan of transformers and reducing emergency repairs. Ultimately, ITMS aims to enhance safety, reduce operational costs, and offer a data-driven approach to transformer management, ensuring the smooth and efficient operation of electrical power distribution networks.

Key Words

IoT (Internet of Things), Transformer Monitoring, Predictive Maintenance, Real-time Monitoring, Machine Learning, Grid Reliability.

Cite This Article

"IOT BASED TRANSFORMER MONITORING SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.n1-n9, April-2024, Available :http://www.jetir.org/papers/JETIR2404D01.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"IOT BASED TRANSFORMER MONITORING SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppn1-n9, April-2024, Available at : http://www.jetir.org/papers/JETIR2404D01.pdf

Publication Details

Published Paper ID: JETIR2404D01
Registration ID: 538185
Published In: Volume 11 | Issue 4 | Year April-2024
DOI (Digital Object Identifier):
Page No: n1-n9
Country: Mlkapur, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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