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Proceedings ArticleDOI

Fuzzy Logic based Fault Detection and Classification scheme for Series Faults in Six Phase Transmission Line

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TLDR
In this paper, a protection scheme for six-phase transmission line for series faults or open conductor fault has been presented, which initiates with the estimation of fundamental current component from the measured time-domain current signals at bus located at sending end.
Abstract
In recent times the power demand has increased considerably Power demand can be achieved by multi-phase transmission line In the present work, a protection scheme for six-phase transmission line for series faults or open conductor fault has been presented The scheme initiates with the estimation of fundamental current component from the measured time-domain current signals at bus located at sending end These signals are fed to fuzzy logic-based protection approach The proposed protection scheme has been analyzed for different types of series faults at different locations with various fault inception angles From simulation results, it is evident that the proposed fuzzy logic-based relay scheme perfectly detects and classifies all types of series faults accurately

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Citations
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Journal ArticleDOI

Design and Implementation of Hybrid Transmission Line Protection Scheme Using Signal Processing Techniques

TL;DR: In this paper , a hybrid scheme for transmission line protection using the Stockwell transform (ST), Wigner distribution function (WDF), and alienation coefficient (ACF) is designed.
Journal ArticleDOI

Current- and Voltage-Actuated Transmission Line Protection Scheme Using a Hybrid Combination of Signal Processing Techniques

TL;DR: In this paper , a hybrid mix of Stockwell transform and Hilbert transform (HT) is used to detect and categorize faults, which improves the reliability of this protection scheme and avoids false tripping.

Bulletin of Electrical Engineering and Informatics

TL;DR: This work focuses on classifying Covid-19 cases for healthy and infected by presenting a powerful scheme of recognizing CT scan images by proposing a model based on applying deep feature extractions with support vector machine (SVM).
References
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Book

Fuzzy Logic with Engineering Applications

TL;DR: This chapter discusses Fuzzy Systems Simulation, specifically the development of Membership Functions and the Extension Principle, and some of the methods used to derive these functions.
Journal ArticleDOI

Fuzzy-logic-based fault classification scheme for digital distance protection

TL;DR: In this paper, a fuzzy-logic-based algorithm to identify the type of faults for digital distance protection system has been developed, which is able to accurately identify the phase(s) involved in all ten types of shunt faults that may occur in a transmission line under different fault resistances, inception angle, and loading levels.
Journal ArticleDOI

Wavelet fuzzy combined approach for fault classification of a series-compensated transmission line

TL;DR: In this article, a discrete wavelet transform integrated with a fuzzy logic system is designed for fault classification of a transmission line possessing a series capacitor at the midpoint, which uses information obtained from the wavelet decomposition of current signals for faulty phase selection and section identification.
Journal ArticleDOI

High Phase Order Transmission--A Feasibility Analysis Part I--Steady State Considerations

TL;DR: In this article, the definition of system voltage nomenclature, steady state system operation as affected by transmission line impedances, line and generator current unbalance, and the electrical environmental aspects of radio noise, audible noise, and electric fields at ground level are compared to representative 3-phase conditions.
Journal ArticleDOI

A systematic fuzzy rule based approach for fault classification in transmission lines

TL;DR: A systematic fuzzy rule base is developed for fault classification in transmission line using a systematic fuzzyRule based approach, reducing the redundancies and complexities involved compared to Heuristic fuzzy rule-based approach.
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