Smart IoT-Based Fault Detection in Underground Cables for Enhanced Infrastructure Reliability

Since the electricity system grid has developed; underground wires have been employed extensively. Because of the subsurface environment, deterioration, and rodent activity, numerous problems might arise with underground lines. Excavating the entire line is necessary to check for cable flaws, locating the source of the fault is challenging. Only that region needs to be excavated in order to find the cause of the fault, as the person who are going to repair are aware precisely which section is defective. As a result, it enables quicker maintenance of subterranean cable systems and saves a significant amount of money. Finding the underground cable faults’ distance in kilometers from the base station is the goal of this study.

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Publication Details

Published
2024-12-06
DOI
https://doi.org/10.1109/ccis63231.2024.10931942
Citations
1
Primary Topic
Power Systems Fault Detection
Type
article
Field-Weighted Citation Impact
0.33
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article

Smart IoT-Based Fault Detection in Underground Cables for Enhanced Infrastructure Reliability

Ajitesh Kumar, Mona Kumari
1 citations
Power Systems Fault Detection
0.33
article

Smart IoT-Based Fault Detection in Underground Cables for Enhanced Infrastructure Reliability

Ajitesh Kumar, Mona Kumari
article en
1 citations

Abstract

Since the electricity system grid has developed; underground wires have been employed extensively. Because of the subsurface environment, deterioration, and rodent activity, numerous problems might arise with underground lines. Excavating the entire line is necessary to check for cable flaws, locating the source of the fault is challenging. Only that region needs to be excavated in order to find the cause of the fault, as the person who are going to repair are aware precisely which section is defective. As a result, it enables quicker maintenance of subterranean cable systems and saves a significant amount of money. Finding the underground cable faults’ distance in kilometers from the base station is the goal of this study.

GLA University (IN)
Industry, innovation and infrastructure
Openalex Percentile: Top 36%
Power Systems Fault Detection
0.33
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