UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 3 | March 2026

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Published in:

Volume 6 Issue 3
March-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1903J93


Registration ID:
226991

Page Number

609-613

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Title

CLASSIFICATION OF FAULT AND DIAGNOSIS TECHNIQUES FOR TRANSMISSION LINE

Abstract

In this piece of research Classification of fault and diagnosis techniques for transmission line is discussed on the basis of literature survey. A comprehensive review of all of the different methods of fault location on power systems is presented here. The advantages and disadvantages of each method of fault location detection and techniques for deriving them is discussed. Traditional line fault detection used to heavily rely on visual inspections of the faulted line parts resulting in long and tedious foot or aerial patrols. These methods were expensive and prone to more errors. Thus, the shift to automatic fault locators was not only desired, but also natural. Fault location techniques can be generally classified. The past 20 years has witnessed the rapid development in various fields concerning the detection, classification and location of faults in power systems. The advances in signal processing techniques, artificial intelligence and machine learning, global positioning system (GPS) and communications have enabled more and more researchers to carry out studies with high breadth and depth in that the limits of traditional fault protection techniques can be stretched. Methods for fault detection, classification and location in transmission lines and distribution systems have been intensively studied over the years. With the concepts associated with smart grid attracting growing concern among researchers, the importance of building an intelligent fault monitoring and diagnosis system capable of classifying and locating different types of faults cannot be overstated. Ultimately it is found that the smart techniques of fault classification and diagnosis of fault provides real time information to detect the fault and reduce the interruption of power supply

Key Words

Fault, Transmission, Diagnosis, Algorithms, Balanced Faults

Cite This Article

"CLASSIFICATION OF FAULT AND DIAGNOSIS TECHNIQUES FOR TRANSMISSION LINE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.609-613, March-2019, Available :http://www.jetir.org/papers/JETIR1903J93.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"CLASSIFICATION OF FAULT AND DIAGNOSIS TECHNIQUES FOR TRANSMISSION LINE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp609-613, March-2019, Available at : http://www.jetir.org/papers/JETIR1903J93.pdf

Publication Details

Published Paper ID: JETIR1903J93
Registration ID: 226991
Published In: Volume 6 | Issue 3 | Year March-2019
DOI (Digital Object Identifier):
Page No: 609-613
Country: Bilaspur, Chhattisgarh, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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