Journal ArticleDOI
A wavelet-fuzzy combined approach for classification and location of transmission line faults
TLDR
Both classification and location algorithms can be used as effective tools for real-time digital relaying purpose and are immune from effects of faults inception angle, impedance and distance.About:
This article is published in International Journal of Electrical Power & Energy Systems.The article was published on 2007-11-01. It has received 162 citations till now. The article focuses on the topics: Wavelet transform & Wavelet.read more
Citations
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Journal ArticleDOI
Fault detection, classification and location for transmission lines and distribution systems: a review on the methods
TL;DR: A comprehensive review on the methods used for fault detection, classification and location in transmission lines and distribution systems is presented in this article, where fault detection techniques are discussed on the basis of feature extraction.
Journal ArticleDOI
A Machine Learning and Wavelet-Based Fault Location Method for Hybrid Transmission Lines
TL;DR: This paper presents a single-ended traveling wave-based fault location method for a hybrid transmission line: an overhead line combined with an underground cable that is tested for different fault inception angles, fault resistances, non-linear high impedance faults, and non-ideal faults with satisfactory results.
Journal ArticleDOI
Fault detection and classification in electrical power transmission system using artificial neural network
TL;DR: The present method based on the neural network is efficient in detecting and classifying the faults on transmission lines with satisfactory performances and can be extended to the Distribution network of the Power System.
Journal ArticleDOI
Fault classification technique for series compensated transmission line using support vector machine
TL;DR: In this article, a fault classification technique using support vector machine (SVM) for a series compensated transmission line with a fixed series capacitor placed at the middle of the line is presented.
Journal ArticleDOI
Support vector machine based fault classification and location of a long transmission line
Papia Ray,Debani Prasad Mishra +1 more
TL;DR: In this paper, the authors investigated support vector machine based fault type and distance estimation scheme in a long transmission line using post fault single cycle current waveform and pre-processing of the samples is done by wavelet packet transform.
References
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Journal ArticleDOI
A theory for multiresolution signal decomposition: the wavelet representation
TL;DR: In this paper, it is shown that the difference of information between the approximation of a signal at the resolutions 2/sup j+1/ and 2 /sup j/ (where j is an integer) can be extracted by decomposing this signal on a wavelet orthonormal basis of L/sup 2/(R/sup n/), the vector space of measurable, square-integrable n-dimensional functions.
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
Power quality assessment via wavelet transform analysis
TL;DR: In this article, the authors present a new approach to detect, localize, and investigate the feasibility of classifying various types of power quality disturbances using dyadic-orthonormal wavelet transform analysis.
BookDOI
The transforms and applications handbook
TL;DR: Poularikas et al. as discussed by the authors proposed the Hartley Transform, Kraig J. Olejniczak, University of Arkansas, Fayetteville Laplace Transforms, Samuel Seely (deceased), Westbrook, Connecticut The Z-Transform, Alexander D. Poularis et al., University of Alabama in Huntsville Hilbert Transform, Stefan L. Hahn, Warsaw University of Technology Radon and Abel Transforms.
Journal ArticleDOI
Fault location using wavelets
F.H. Magnago,Ali Abur +1 more
TL;DR: In this article, the use of wavelet transforms for analyzing power system fault transients in order to determine the fault location is described, which is related to the travel time of the signals which are already decomposed into their modal components.
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