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A Survey: Fault Classification Techniques

Trisha Chaudhary1 , Nitima Malsa2

Section:Survey Paper, Product Type: Journal Paper
Volume-4 , Issue-8 , Page no. 51-53, Aug-2016

Online published on Aug 31, 2016

Copyright © Trisha Chaudhary , Nitima Malsa . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Trisha Chaudhary , Nitima Malsa, “A Survey: Fault Classification Techniques,” International Journal of Computer Sciences and Engineering, Vol.4, Issue.8, pp.51-53, 2016.

MLA Style Citation: Trisha Chaudhary , Nitima Malsa "A Survey: Fault Classification Techniques." International Journal of Computer Sciences and Engineering 4.8 (2016): 51-53.

APA Style Citation: Trisha Chaudhary , Nitima Malsa, (2016). A Survey: Fault Classification Techniques. International Journal of Computer Sciences and Engineering, 4(8), 51-53.

BibTex Style Citation:
@article{Chaudhary_2016,
author = {Trisha Chaudhary , Nitima Malsa},
title = {A Survey: Fault Classification Techniques},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {8 2016},
volume = {4},
Issue = {8},
month = {8},
year = {2016},
issn = {2347-2693},
pages = {51-53},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1033},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1033
TI - A Survey: Fault Classification Techniques
T2 - International Journal of Computer Sciences and Engineering
AU - Trisha Chaudhary , Nitima Malsa
PY - 2016
DA - 2016/08/31
PB - IJCSE, Indore, INDIA
SP - 51-53
IS - 8
VL - 4
SN - 2347-2693
ER -

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Abstract

Transmission lines consume a considerable amount of power. The necessity of power and its dependency has grown exponentially over the years. The void between limited production and tremendous demand has increased the focus on minimizing power losses. For a modern power system, high speed fault clearance is very critical and to achieve this objective various techniques have been developed. This paper presents survey of various techniques used for classification of transmission line faults.

Key-Words / Index Term

Transmission Lines, Faults, Classification Techniques, Electric Power System, Fault Detection

References

[1] Anamika Yadav, Aleena Swetapadma, “A novel transmission line relaying scheme for fault detection and classification using wavelet transform and linear discriminant analysis”, Elsevier, Page No (199-209), 2015.
[2] B. Jagan Mohan,N. Ramesh Babu, “Fault classification in power system using EMD and SVM”, Elsevier, Page No (1-9), August 2015.
[3] M. Sanaye-Pasand, H. Khorashadi-Zadeh,” Transmission Line Fault Detection & Phase Selection using ANN”, International Conference on Power Systems Transients – IPST, Page No (1-6), 2003 .
[4] Zhi-kun Hu, Wei-hua Gui, Chun-hua Yang, Peng-cheng Deng, and Steven X. Ding, “Fault Classification Method for Inverter Based on Hybrid Support Vector Machines and Wavelet Analysis”, Springer (2011),pp. 1-8.
[5] Anamika Yadav, A.S. Thoke, “Transmission line fault distance and direction estimation using artificial neural network”, International Journal of Engineering, Science and Technology, Vol. 3, No. 8, Page No (110-121), 2011.
[6] Ch. Durga Prasada, N. Srinivasua, “Fault Detection in Transmission Lines using Instantaneous Power with ED based Fault Index”, Elsevier, Page No (132-138), August 2015.
[7] Kola Venkataramana Babu, Manoj Tripathy and Asheesh K Singh, “Recent techniques used in transmission line protection: a review”, International Journal of Engineering, Science and Technology, Vol. 3, No. 3, Page No (1-8), 2011.
[8] P. Chiradeja and A. Ngaopitakkul, Member, IAENG, “Identification of Fault Types for Single Circuit Transmission Line using Discrete Wavelet transform and Artificial Neural Networks”, Proceedings of the International Multi Conference of Engineers and Computer Scientists , IMECS vol. 2, Page No (1-6), March 2009.