Open Access
Research Paper
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Paper Title

UNDERGROUND CABLE FAULT DETECTION USING IOT

Article Identifiers

Registration ID: IJNRD_219707

Published ID: IJNRD2405008

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Keywords

IOT(Internet of Things),Underground Cable, Fault Detection, Fault localization, Remote monitoring, Smart Grid , Power Distribution , Real-time Analytics ,Fault Classification ,Wireless Communication, Energy Management

Abstract

Underground cables have been widely used with the development of power system grid. Underground cables are prone to a wide variety of faults due to underground conditions, wear and tear, rodents. Detecting the fault source is difficult because entire line is to be dug in order to check fault at cable line. If the repairmen know exactly which has and only that area is to be dug to detect the fault source. Thus, it saves a lot of time, money and allows to service underground cable fault from base station in Km In underground cables, if there is any fault occur at that time the fault detection is achieved by help of Sectionalizing, Thumping and Murray loop methods etc. In sectionalizing method first, we divide the enter cable in the form of sections then we need dig or check total cable from to distance. In thumping the fault detection is achieved with the help noise produced in cable by supplying high voltage. With that too much money, time and money will be waste. So, to overcome those problems we are proposing the underground cable fault detection system using IoT.

How To Cite (APA)

Mr. V. HariKrishna, G. Neelima, P. Pooojitha, M. Madhu, & D.V.N. Surya, Ch. Satwika (May-2024). UNDERGROUND CABLE FAULT DETECTION USING IOT. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(5), a77-a82. https://ijnrd.org/papers/IJNRD2405008.pdf

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Other Publication Details

Paper Reg. ID: IJNRD_219707

Published Paper Id: IJNRD2405008

Downloads: 000122257

Research Area: Engineering

Author Type: Indian Author

Country: -, -, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2405008.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405008

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Call For Paper - Volume 10 | Issue 12 | December 2025

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