Journal ArticleDOI
High impedance fault detection based on wavelet transform and statistical pattern recognition
TLDR
In this article, a novel method for high impedance fault (HIF) detection based on pattern recognition systems is presented, using this method, HIFs can be discriminated from insulator leakage current (ILC) and transients such as capacitor switching, load switching (high/low voltage), ground fault, inrush current and no load line switching.Abstract:
A novel method for high impedance fault (HIF) detection based on pattern recognition systems is presented in this paper. Using this method, HIFs can be discriminated from insulator leakage current (ILC) and transients such as capacitor switching, load switching (high/low voltage), ground fault, inrush current and no load line switching. Wavelet transform is used for the decomposition of signals and feature extraction, feature selection is done by principal component analysis and Bayes classifier is used for classification. HIF and ILC data was acquired from experimental tests and the data for transients was obtained by simulation using EMTP program. Results show that the proposed procedure is efficient in identifying HIFs from other events.read more
Citations
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Journal ArticleDOI
Detection of High Impedance Fault in Power Distribution Systems Using Mathematical Morphology
Suresh Gautam,Sukumar Brahma +1 more
TL;DR: In this article, a tool based on mathematical morphology (MM) is proposed to detect high impedance faults (HIFs) using a conventional overcurrent relay at the substation to improve the performance of this relay in detecting HIFs.
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
Deep-Learning-Based Earth Fault Detection Using Continuous Wavelet Transform and Convolutional Neural Network in Resonant Grounding Distribution Systems
TL;DR: In this paper, a simple and effective method of faulty feeder detection in resonant grounding distribution systems based on the continuous wavelet transform (CWT) and convolutional neural network (CNN) is presented.
Journal ArticleDOI
High impedance fault detection: A review
TL;DR: A review of the literature related to the HIF phenomenon can be found in this paper, where the authors categorized, evaluated, and compared the existing HIF detection techniques and HIF location techniques.
Journal ArticleDOI
High Impedance Fault Identification on Distribution Networks
TL;DR: A transient-based algorithm that uses the discrete wavelet transform to monitor high- and low-frequency voltage components at several points of the power system, being able to indicate the most likely area within which the disturbance has occurred, without requiring data synchronization nor the knowledge of feeder or load parameters.
References
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Book
A wavelet tour of signal processing
TL;DR: An introduction to a Transient World and an Approximation Tour of Wavelet Packet and Local Cosine Bases.
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Pattern recognition principles
Julius T. Tou,Rafael C. Gonzalez +1 more
TL;DR: The present work gives an account of basic principles and available techniques for the analysis and design of pattern processing and recognition systems.
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.
Journal ArticleDOI
Wavelets and electromagnetic power system transients
TL;DR: The wavelet transform was introduced as a method for analyzing electromagnetic transients associated with power system faults and switching as mentioned in this paper, and it is more appropriate than the familiar Fourier methods for the nonperiodic, wide-band signals associated with EM transients.
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