Belwin Edward J

Department of Electrical Engineering

School of Electrical Engineering

Vellore Campus

Avagaddi Prasad

Fulltext

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

Journal of Electrical Systems and Information Technology

Transmission systems (TS) plays a major role in electrical power systems. The interruption caused to the consumer because of TS faults is substantial. So TS needs a proper protection scheme to ensure continuous power supply to the consumers. This study proposes a novel scheme using wavelet technique for classification of faults in TS. In order to do so, the proposed scheme uses current measurements of just one side of the transmission line. Simulations are performed under different fault conditions using MATLAB. The stability of the proposed scheme under various cases is tested andreliable results have been obtained.

Procedia Computer Science

Application of Wavelet Technique for Fault Classification in Transmission Systems

International Journal of Innovative Technology and Exploring Engineering Special Issue

Euclidean Metric based Fault Diagnosis in Power Transmission Line

International Journal of Engineering and Advanced Technology Special Issue

Transmission Line Fault Detection, Classification and Location using Wavelet Transform

Indian Journal of Science and Technology

Classification of Faults in Power Transmission Lines using Fuzzy-Logic Technique

MELECON 2014 - 2014 17th IEEE Mediterranean Electrotechnical Conference

Fault detection and classification approaches in transmission lines using artificial neural networks

A review on fault classification methodologies in power transmission systems: Part—I

Journal	Data powered by TypesetJournal of Electrical Systems and Information Technology
Publisher	Data powered by TypesetSpringer Science and Business Media LLC
ISSN	2314-7172
Open Access	Yes