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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM13884

Automatic Fault Detection in Transmission Lines using IOT Technology

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM13884

Volume:

6 |

5 |

May 2022

Pages:

Publication Frequency:

Monthly (12 issues per year)

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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

PRY

Prof. Rajnandani Yadav

OY

Omesh Yeole

Nk

Nitish kumar

JG

Janvi Gedam

RG

Rushali Gondane

PC

Prayag Chorase

SW

Sneha Waghmare

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Abstract

The electrical system is divided into many different parts. One of them is the power transmission system, which is transmitted by power plants and transformer stations, through wiring to the consumer. But this method will likely encounter all kinds of disorders, which are commonly called “Bugs”.” The error lies in the fact that simply can be defined as a number of unpleasant but inevitable events that can temporarily prevent the steady-state energy of the system, which occurs in case of failure of the insulation system at any time. Intelligent IOT systems, fault detection and location detection have a place to adequately and accurately determine from voltage error. This will ensure that the technical staff will meet soon to address these issues, and thus help save transformers from loss and man-made disasters. The system uses a current transformer, a voltage transformer, an Arduino Controller, RS-232 serial communication, and a IOT modem. With this project, we discovered the failure of a three-phase transmission line, can control the voltage, current, use of a IOT modem by sending us a message.

KEYWORDS

Transmission line fault detection iot technology automatic fault detection.

Cite This Article

Prof. Rajnandani Yadav, Omesh Yeole, Nitish kumar, Janvi Gedam, Rushali Gondane, Prayag Chorase, Sneha Waghmare, "Automatic Fault Detection in Transmission Lines using IOT Technology," International Journal of Scientific Research in Engineering and Management, vol. 6, no. 5, May 2022.

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Publication Date

5/29/2022

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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5

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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