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Intelligent approaches using support vector machine and extreme learning machine for transmission line protection

https://doi.org/10.1016/j.neucom.2010.02.001
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-1-4757-2440-0openalex-snapshot
The Nature of Statistical Learning Theory
inferredcites →https://doi.org/10.1007/bf00994018openalex-snapshot
Support-Vector Networks
inferredcites →https://doi.org/10.1016/j.neucom.2005.12.126openalex-snapshot
Extreme learning machine: Theory and applications
inferredcites →https://doi.org/10.1023/a:1009715923555openalex-snapshot
A Tutorial on Support Vector Machines for Pattern Recognition
inferredcites →https://doi.org/10.1063/1.4823127openalex-snapshot
Ten Lectures on Wavelets
inferredcites →https://doi.org/10.1109/61.108895openalex-snapshot
A new fault location technique for two- and three-terminal lines
inferredcites →https://doi.org/10.1109/61.156997openalex-snapshot
Fault location techniques for radial and loop transmission systems using digital fault recorded data
inferredcites →https://doi.org/10.1109/61.329526openalex-snapshot
A new network reconfiguration technique for service restoration in distribution networks
inferredcites →https://doi.org/10.1109/61.368401openalex-snapshot
A fuzzy-set approach to fault-type identification in digital relaying
inferredcites →https://doi.org/10.1109/61.4237openalex-snapshot
A technique for estimating transmission line fault locations from digital impedance relay measurements
inferredcites →https://doi.org/10.1109/61.660852openalex-snapshot
Some improvements in the three-phase differential equation algorithm for fast transmission line protection
inferredcites →https://doi.org/10.1109/61.714460openalex-snapshot
Transmission line fault location for single-phase-to-earth fault on non-direct-ground neutral system
inferredcites →https://doi.org/10.1109/61.905593openalex-snapshot
Application of minimal radial basis function neural network to distance protection
inferredcites →https://doi.org/10.1109/tnn.2006.875977openalex-snapshot
Universal Approximation using Incremental Constructive Feedforward Networks with Random Hidden Nodes
inferredcites →https://doi.org/10.1109/tnn.2006.880583openalex-snapshot
A Fast and Accurate Online Sequential Learning Algorithm for Feedforward Networks
inferredcites →https://doi.org/10.1109/tpas.1982.317615openalex-snapshot
Development of a New Type Fault Locator Using the One-Terminal Voltage and Current Data
inferredcites →https://doi.org/10.1109/tpwrd.2003.817523openalex-snapshot
Wavelet-based ann approach for transmission line protection
inferredcites →https://doi.org/10.1109/tpwrd.2004.834294openalex-snapshot
Fuzzy-Logic-Based Fault Classification Scheme for Digital Distance Protection
inferredcites →https://doi.org/10.1109/tpwrd.2006.876695openalex-snapshot
Fault Classification and Section Identification of an Advanced Series-Compensated Transmission Line Using Support Vector Machine
inferredcites →https://doi.org/10.1109/tpwrd.2007.893596openalex-snapshot
Transmission Line Boundary Protection Using Wavelet Transform and Neural Network
inferredcites →https://doi.org/10.1109/tpwrd.2008.919395openalex-snapshot
Combined Wavelet-SVM Technique for Fault Zone Detection in a Series Compensated Transmission Line
inferredcites →https://doi.org/10.1142/s0129065706000482openalex-snapshot
CLASSIFICATION OF MENTAL TASKS FROM EEG SIGNALS USING EXTREME LEARNING MACHINE
inferredcites →https://doi.org/10.1162/089976600300015565openalex-snapshot
New Support Vector Algorithms
inferredcites →https://doi.org/10.2307/1271368openalex-snapshot
Statistical Learning Theory

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4650529openalex-extracted
inferred← citeshttps://doi.org/10.1002/etep.1860openalex-snapshot
Generalized instance-based fault locating in transmission lines using single-ended voltage measurements
inferred← citeshttps://doi.org/10.1002/tee.22519openalex-snapshot
Fault location in an unbalanced distribution system using support vector classification and regression analysis
inferred← citeshttps://doi.org/10.1007/978-3-030-77696-1_17openalex-snapshot
Machine Learning Approaches in a Real Power System and Power Markets
inferred← citeshttps://doi.org/10.1007/s00521-014-1710-1openalex-snapshot
Variational Bayesian extreme learning machine
inferred← citeshttps://doi.org/10.1007/s00521-017-3295-yopenalex-snapshot
Fault detection, location and classification of a transmission line
inferred← citeshttps://doi.org/10.1007/s00521-018-3353-0openalex-snapshot
Performance analysis of No-Propagation and ELM algorithms in classification
inferred← citeshttps://doi.org/10.1007/s10489-013-0501-1openalex-snapshot
Hardware implementation methods in Random Vector Functional-Link Networks
inferred← citeshttps://doi.org/10.1007/s11280-013-0219-3openalex-snapshot
Meme representations for game agents
inferred← citeshttps://doi.org/10.1007/s11431-014-5712-0openalex-snapshot
Monthly discharge forecasting using wavelet neural networks with extreme learning machine
inferred← citeshttps://doi.org/10.1007/s12065-021-00593-yopenalex-snapshot
Selection of informative genes from high-dimensional cancerous data employing an improvised meta-heuristic algorithm
inferred← citeshttps://doi.org/10.1007/s13042-011-0019-yopenalex-snapshot
Extreme learning machines: a survey
inferred← citeshttps://doi.org/10.1007/s40313-013-0064-8openalex-snapshot
Autonomous Neural Models for the Classification of Events in Power Distribution Networks
inferred← citeshttps://doi.org/10.1007/s40314-015-0246-zopenalex-snapshot
An analysis of numerical issues in neural training by pseudoinversion
inferred← citeshttps://doi.org/10.1007/s42835-019-00209-7openalex-snapshot
Single-Phase Fault Location in Four-Circuit Transmission Lines Based on Wavelet Analysis Using ANFIS
inferred← citeshttps://doi.org/10.1007/s42835-025-02180-yopenalex-snapshot
Line Direction Protection Based on Wavelet Energy Entropy Difference and SVM
inferred← citeshttps://doi.org/10.1016/j.asoc.2019.105860openalex-snapshot
Fault location estimation for series-compensated double-circuit transmission line using parameter optimized variational mode decomposition and weighted P-norm random vector functional link network
inferred← citeshttps://doi.org/10.1016/j.egypro.2012.02.232openalex-snapshot
Neural Network Simulating the Tensility of Transmission Line Ice Shedding
inferred← citeshttps://doi.org/10.1016/j.egyr.2021.07.077openalex-snapshot
Using machine learning and computer vision to estimate the angular velocity of wind turbines in smart grids remotely
inferred← citeshttps://doi.org/10.1016/j.eij.2023.03.004openalex-snapshot
An improvised nature-inspired algorithm enfolded broad learning system for disease classification
inferred← citeshttps://doi.org/10.1016/j.engappai.2021.104504openalex-snapshot
Machine learning applications in power system fault diagnosis: Research advancements and perspectives
inferred← citeshttps://doi.org/10.1016/j.epsr.2015.01.015openalex-snapshot
A novel distributed unit transient protection algorithm using support vector machines
inferred← citeshttps://doi.org/10.1016/j.epsr.2016.02.002openalex-snapshot
A survey on intelligent system application to fault diagnosis in electric power system transmission lines
inferred← citeshttps://doi.org/10.1016/j.epsr.2017.03.030openalex-snapshot
ICA feature extraction for the location and classification of faults in high-voltage transmission lines
inferred← citeshttps://doi.org/10.1016/j.epsr.2017.09.019openalex-snapshot
Transmission line fault location using traveling wave frequencies and extreme learning machine
inferred← citeshttps://doi.org/10.1016/j.epsr.2018.02.005openalex-snapshot
Fault location on high voltage transmission line by applying support vector regression with fault signal amplitudes
inferred← citeshttps://doi.org/10.1016/j.epsr.2023.109432openalex-snapshot
LSTM autoencoders based unsupervised machine learning for transmission line protection
inferred← citeshttps://doi.org/10.1016/j.ijepes.2014.03.045openalex-snapshot
Transmission line fault location using hybrid wavelet-Prony method and relief algorithm
inferred← citeshttps://doi.org/10.1016/j.ijepes.2015.01.005openalex-snapshot
Prediction of dynamic voltage stability status based on Hopf and limit induced bifurcations using extreme learning machine
inferred← citeshttps://doi.org/10.1016/j.ijepes.2018.12.019openalex-snapshot
High impedance fault protection scheme for smart grids based on WPT and ELM considering evolving and cross-country faults
inferred← citeshttps://doi.org/10.1016/j.ijepes.2019.105410openalex-snapshot
Dynamic protection of power systems with high penetration of renewables: A review of the traveling wave based fault location techniques
inferred← citeshttps://doi.org/10.1016/j.ijepes.2021.107102openalex-snapshot
A deep learning based intelligent approach in detection and classification of transmission line faults
inferred← citeshttps://doi.org/10.1016/j.jngse.2015.02.012openalex-snapshot
Ensemble model of non-linear feature selection-based Extreme Learning Machine for improved natural gas reservoir characterization
inferred← citeshttps://doi.org/10.1016/j.neucom.2010.12.039openalex-snapshot
Predicting the probability of ice storm damages to electricity transmission facilities based on ELM and Copula function
inferred← citeshttps://doi.org/10.1016/j.neucom.2011.06.013openalex-snapshot
Regularized extreme learning machine for regression problems
inferred← citeshttps://doi.org/10.1016/j.neucom.2016.09.090openalex-snapshot
Modified sparse representation based image super-resolution reconstruction method
inferred← citeshttps://doi.org/10.1016/j.neunet.2014.10.001openalex-snapshot
Trends in extreme learning machines: A review
inferred← citeshttps://doi.org/10.1016/j.protcy.2015.10.020openalex-snapshot
Fault Detection in Transmission Lines Using Instantaneous Power with ED Based Fault Index
inferred← citeshttps://doi.org/10.1016/j.swevo.2015.05.003openalex-snapshot
An improved cuckoo search based extreme learning machine for medical data classification
inferred← citeshttps://doi.org/10.1038/s41598-025-15583-8openalex-snapshot
Deep learning and wavelet packet transform for fault diagnosis in double circuit transmission lines
inferred← citeshttps://doi.org/10.1049/hve.2016.0005openalex-snapshot
Fault detection, classification and location for transmission lines and distribution systems: a review on the methods
inferred← citeshttps://doi.org/10.1049/iet-gtd.2017.0656openalex-snapshot
Wavelet‐based extreme learning machine for distribution grid fault location
inferred← citeshttps://doi.org/10.1049/iet-gtd.2017.0862openalex-snapshot
Non‐communication protection scheme for power transmission system based on transient currents, HHT and SVM
inferred← citeshttps://doi.org/10.1049/iet-gtd.2019.1368openalex-snapshot
Structured approach to downsize data administration and improve fault recognition accuracy for large power systems
inferred← citeshttps://doi.org/10.1049/rpg2.70222openalex-snapshot
Overvoltage Suppression Strategy for HPFC Based on Bandwidth Adaptive LADRC and Improved Reactive Power Control
inferred← citeshttps://doi.org/10.1080/15325008.2016.1220999openalex-snapshot
Kernel-Extreme Learning Machine-Based Fault Location in Advanced Series-Compensated Transmission Line
inferred← citeshttps://doi.org/10.1088/1742-6596/3229/1/012031openalex-snapshot
Fault Detection and Classification in Distribution System using Wavelet Transformation and Whale Optimization Support Vector Machine
inferred← citeshttps://doi.org/10.1109/access.2020.2981294openalex-snapshot
WRC-SDT Based On-Line Detection Method for Offshore Wind Farm Transmission Line
inferred← citeshttps://doi.org/10.1109/access.2022.3170038openalex-snapshot
Influential Gene Selection From High-Dimensional Genomic Data Using a Bio-Inspired Algorithm Wrapped Broad Learning System
inferred← citeshttps://doi.org/10.1109/access.2023.3262167openalex-snapshot
An Integrated Nature-Inspired Algorithm Hybridized Adaptive Broad Learning System for Disease Classification
inferred← citeshttps://doi.org/10.1109/apsit63993.2025.11086137openalex-snapshot
An Extensive Review of Techniques for Transmission Line Fault Classification
inferred← citeshttps://doi.org/10.1109/cjece.2017.2751661openalex-snapshot
A Novel Zone Division Approach for Power System Fault Detection Using ANN-Based Pattern Recognition Technique
inferred← citeshttps://doi.org/10.1109/icpc2t60072.2024.10474888openalex-snapshot
Combined PCA and Kernel-Based Extreme Learning Machine Technique for Classification of Faults in IEEE 9- Bus System
inferred← citeshttps://doi.org/10.1109/iscmi47871.2019.9004304openalex-snapshot
Fault Detection in Power System Integrated Network with Distribution Generators Using Machine Learning Algorithms
inferred← citeshttps://doi.org/10.1109/powerafrica.2017.7991190openalex-snapshot
Fault detection and classification method using DWT and SVM in a power distribution network
inferred← citeshttps://doi.org/10.1109/siu.2013.6531209openalex-snapshot
Fault detection at power transmission lines by extreme learning machine
inferred← citeshttps://doi.org/10.1109/tii.2020.3037869openalex-snapshot
A Novel $k$-Means Clustering and Weighted $k$-NN-Regression-Based Fast Transmission Line Protection
inferred← citeshttps://doi.org/10.1109/tpwrd.2012.2211898openalex-snapshot
Accurate Single-Phase Fault-Location Method for Transmission Lines Based on K-Nearest Neighbor Algorithm Using One-End Voltage
inferred← citeshttps://doi.org/10.1109/tpwrd.2013.2251752openalex-snapshot
Detection and Classification of Faults in Power Transmission Lines Using Functional Analysis and Computational Intelligence
inferred← citeshttps://doi.org/10.1142/9789813100312_0056openalex-snapshot
Traffic Sign Recognition Based on Extreme Learning Machine
inferred← citeshttps://doi.org/10.1142/s021969132050006xopenalex-snapshot
Optimal weighted feature vector and deep belief network for medical data classification
inferred← citeshttps://doi.org/10.11591/ijeecs.v24.i3.pp1759-1771openalex-snapshot
Application of multilayer perceptron to deep reinforcement learning for stock market trading and analysis
inferred← citeshttps://doi.org/10.1177/0954406213496968openalex-snapshot
Multi-fault classification based on the two-stage evolutionary extreme learning machine and improved artificial bee colony algorithm
inferred← citeshttps://doi.org/10.1515/jib-2019-0097openalex-snapshot
Diagnosis of diabetes in pregnant woman using a Chaotic-Jaya hybridized extreme learning machine model
inferred← citeshttps://doi.org/10.17798/bitlisfen.852909openalex-snapshot
A Novel Analog Modulation Classification: Discrete Wavelet Transform-Extreme Learning Machine (DWT-ELM)
inferred← citeshttps://doi.org/10.32657/10356/50729openalex-snapshot
Dynamic configuration and approximation capabilities of extreme learning machines
inferred← citeshttps://doi.org/10.3390/app10041312openalex-snapshot
A Review of Fault Diagnosing Methods in Power Transmission Systems
inferred← citeshttps://doi.org/10.3390/app10144965openalex-snapshot
Application of Machine Learning for Fault Classification and Location in a Radial Distribution Grid
inferred← citeshttps://doi.org/10.3390/jmse10070905openalex-snapshot
FBLS-Based Fusion Method for Unmanned Surface Vessel Positioning Considering Denoising Algorithm
inferred← citeshttps://doi.org/10.3390/math10183263openalex-snapshot
Feed-Forward Neural Networks Training with Hybrid Taguchi Vortex Search Algorithm for Transmission Line Fault Classification
inferred← citeshttps://doi.org/10.3390/pr13010048openalex-snapshot
Fault Diagnosis Techniques for Electrical Distribution Network Based on Artificial Intelligence and Signal Processing: A Review
inferred← citeshttps://doi.org/10.3390/s22249936openalex-snapshot
Intelligent Sensors for dc Fault Location Scheme Based on Optimized Intelligent Architecture for HVdc Systems
inferred← citeshttps://doi.org/10.4018/978-1-7998-1204-3.ch042openalex-snapshot
A Hybrid Kernel Extreme Learning Machine and Improved Cat Swarm Optimization for Microarray Medical Data Classification
inferred← citeshttps://doi.org/10.4018/ijaec.2016070104openalex-snapshot
A Hybrid Kernel Extreme Learning Machine and Improved Cat Swarm Optimization for Microarray Medical Data Classification
inferred← citeshttps://doi.org/10.4156/ijact.vol4.issue10.32openalex-snapshot
An Improved Extreme Learning Machine for Classification Problem Based on Affinity Propagation Clustering
inferred← citeshttps://doi.org/10.51583/ijltemas.2024.130608openalex-snapshot
Development of a Traveling Wave-based Protection Scheme for Power Systems with High Penetration of Renewable Energy Sources using a Hybrid Independent Component Analysis-Support Vector Machine Algorithm
inferred← citeshttps://doi.org/10.7498/aps.60.080504openalex-snapshot
Selective forgetting extreme learning machine and its application to time series prediction
inferred← citeshttps://doi.org/10.7498/aps.60.110201openalex-snapshot
Incremental regularized extreme learning machine based on Cholesky factorization and its application to time series prediction
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