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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 7 | Month- July 2024
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Published Paper Details:
Paper Title
A SURVEY ON VARIOUS MACHINE LEARNING TECHNIQUES FOR DETECTION OF FAULTS IN TRANSMISSION LINES
Authors
Suchita Ramesh Gabhane ( Gulhane), Dr.Swapnil B.Mohod
Keywords
Fault Detection, Fault Classification, Transmission Lines, Machine Learning
Abstract
Fault classification is necessary for reliable and high speed protective relaying followed by digital distance protection. Hence, a suitable review of these methods is needed. The countless extent of power systems and applications requires the improvement in suitable techniques for the fault classification in power transmission systems, to increase the efficiency of the systems and to avoid major damages. The paper analyzes the technical literature, summarizing the most important methods that can be applied to fault classification methodologies in power transmission systems.
IJCRT's Publication Details
Unique Identification Number - IJCRT2106565
Paper ID - 209002
Page Number(s) - e843-e849
Pubished in - Volume 9 | Issue 6 | June 2021
DOI (Digital Object Identifier) -
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Suchita Ramesh Gabhane ( Gulhane), Dr.Swapnil B.Mohod, "A SURVEY ON VARIOUS MACHINE LEARNING TECHNIQUES FOR DETECTION OF FAULTS IN TRANSMISSION LINES", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 6, pp.e843-e849, June 2021, Available at :http://www.ijcrt.org/papers/IJCRT2106565.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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