An Extensive Review of Techniques for Transmission Line Fault Classification

Transmission lines are an essential part of the electrical power system network, with the primary goal of delivering generated power to consumers with the least amount of disruption. Transmission lines are always subject to faults owing to a kind of factors, including human error, short circuits, equipment obsolescence, lightning storms, and component failure of the power system. Those kinds of phenomena have an effect on system dependability and cause expensive maintenance, lost productivity, and consumer power outages. As the demand for electric power grows each and every day as a result of growing urbanization of life styles and industrialization, quick and precise fault diagnosis is allimportant for superior performance and fewer power supply interruptions. Hence, several techniques for classification of transmission line faults have been developed in the past. Classifying faults is a difficult task that should be completed in order to optimize the system's overall performance and reliability. This article reviews the majority of the previously established techniques for classifying the transmission line faults. This article aimed to present information from earlier research in a comprehensive manner. This paper highlights research initiatives in classification of faults, as well as the operating principle, merits, and demerits of previous works relevant to each fault classification technique. This, relevant and compact assessment possible for the researchers in understanding various methodologies and techniques.

Authors

Institutions

Publication Details

Published
2025-05-23
DOI
https://doi.org/10.1109/apsit63993.2025.11086137
Citations
1
Primary Topic
Power Systems Fault Detection
Type
article
Field-Weighted Citation Impact
1.21
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An Extensive Review of Techniques for Transmission Line Fault Classification

Jyoti Shukla, Somanath Mishra, Archana Panda, Basanta K. Panigrahi et al.
1 citations
Power Systems Fault Detection
1.21
article

An Extensive Review of Techniques for Transmission Line Fault Classification

Jyoti Shukla, Somanath Mishra, Archana Panda, Basanta K. Panigrahi, Ashok Kumar
article en
1 citations

Abstract

Transmission lines are an essential part of the electrical power system network, with the primary goal of delivering generated power to consumers with the least amount of disruption. Transmission lines are always subject to faults owing to a kind of factors, including human error, short circuits, equipment obsolescence, lightning storms, and component failure of the power system. Those kinds of phenomena have an effect on system dependability and cause expensive maintenance, lost productivity, and consumer power outages. As the demand for electric power grows each and every day as a result of growing urbanization of life styles and industrialization, quick and precise fault diagnosis is allimportant for superior performance and fewer power supply interruptions. Hence, several techniques for classification of transmission line faults have been developed in the past. Classifying faults is a difficult task that should be completed in order to optimize the system's overall performance and reliability. This article reviews the majority of the previously established techniques for classifying the transmission line faults. This article aimed to present information from earlier research in a comprehensive manner. This paper highlights research initiatives in classification of faults, as well as the operating principle, merits, and demerits of previous works relevant to each fault classification technique. This, relevant and compact assessment possible for the researchers in understanding various methodologies and techniques.

Indian Institute of Technology Dhanbad (IN), Siksha O Anusandhan University (IN), NIIT University (IN), Regional Plant Resource Centre (IN), XIM University (IN)
Climate action
Openalex Percentile: Top 19%
Power Systems Fault Detection
1.21
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.