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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM2567

IOT BASED UNDERGROUND CABLE FAULT DETECTION SYSTEM

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM2567

Volume:

4 |

1 |

Jan 2020

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
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

AJ

ACHAL J.WAKADE

NNB

NEHA N. BADWAIK

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Abstract

The Underground power cables are a vital component of modern electrical distribution systems due to their improved safety, reliability, and aesthetic advantages over overhead lines. During continuous power transmission, these cables are exposed to faults such as short circuits, open circuits, and insulation failures caused by aging, moisture, or physical damage. Such faults can interrupt power supply and lead to increased maintenance costs and safety risks. Traditional fault detection methods rely on manual testing and excavation, which are time-consuming and unsuitable for quick fault localization. The Arduino-Based Underground Cable Fault Detection System provides an efficient solution by continuously monitoring electrical parameters such as voltage, current, and resistance. The system detects abnormal conditions, identifies the type of fault, and calculates the distance to the fault location using Ohm’s Law. The fault distance is displayed on an LCD, enabling faster repair and reduced downtime. This system assists power utilities and maintenance engineers in quickly locating underground cable faults, reducing outage duration, and improving operational efficiency. By minimizing manual intervention and enhancing safety, the proposed system ensures reliable power distribution and effective infrastructure management. .

KEYWORDS

Underground cable Fault Detection Voltage Regulator Relay Resistor Capacitor Diode Arduino WI-FI Module IC IC Socket Lead-Acid Battery and LCD Display

Cite This Article

ACHAL J.WAKADE, NEHA N. BADWAIK, "IOT BASED UNDERGROUND CABLE FAULT DETECTION SYSTEM," International Journal of Scientific Research in Engineering and Management, vol. 4, no. 1, Jan 2020.

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Publication Date

9/30/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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0

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4

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5

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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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