相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Power Electronics: The Enabling Technology for Renewable Energy Integration
Zhongting Tang et al.
CSEE JOURNAL OF POWER AND ENERGY SYSTEMS (2022)
Power quality disturbances recognition using adaptive chirp mode pursuit and grasshopper optimized support vector machines
Shayan Z. T. Motlagh et al.
MEASUREMENT (2021)
A Novel Three-Step Classification Approach Based on Time-Dependent Spectral Features for Complex Power Quality Disturbances
Yulong Liu et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2021)
A critical and comprehensive review on power quality disturbance detection and classification
Poras Khetarpal et al.
Sustainable Computing-Informatics & Systems (2020)
Real-Time Implementation of Optimized Power Quality Events Classifier
Marija Markovska et al.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS (2020)
Novel Method Based on Variational Mode Decomposition and a Random Discriminative Projection Extreme Learning Machine for Multiple Power Quality Disturbance Recognition
Chen Zhao et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2019)
A New Method With Hilbert Transform and Slip-SVD-Based Noise-Suppression Algorithm for Noisy Power Quality Monitoring
Yan Wang et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2019)
A novel deep learning method for the classification of power quality disturbances using deep convolutional neural network
Shouxiang Wang et al.
APPLIED ENERGY (2019)
Detection and Classification of Transmission Line Faults Based on Unsupervised Feature Learning and Convolutional Sparse Autoencoder
Kunjin Chen et al.
IEEE TRANSACTIONS ON SMART GRID (2018)
Short-Time Fourier Transform Based Transient Analysis of VSC Interfaced Point-to-Point DC System
Kuntal Satpathi et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2018)
Automatic Power Quality Events Recognition Based on Hilbert Huang Transform and Weighted Bidirectional Extreme Learning Machine
Mrutyunjaya Sahani et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2018)
Optimal Feature Selection via NSGA-II for Power Quality Disturbances Classification
Utkarsh Singh et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2018)
Tunable-Q Wavelet Transform and Dual Multiclass SVM for Online Automatic Detection of Power Quality Disturbances
Karthik Thirumala et al.
IEEE TRANSACTIONS ON SMART GRID (2018)
Variational Mode Decomposition and Decision Tree Based Detection and Classification of Power Quality Disturbances in Grid-Connected Distributed Generation System
Pankaj D. Achlerkar et al.
IEEE TRANSACTIONS ON SMART GRID (2018)
Novel Downsampling Empirical Mode Decomposition Approach for Power Quality Analysis
David Camarena-Martinez et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2016)
Feature Extraction and Power Quality Disturbances Classification Using Smart Meters Signals
Fabbio A. S. Borges et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2016)
A Classification Method for Complex Power Quality Disturbances Using EEMD and Rank Wavelet SVM
Zhigang Liu et al.
IEEE TRANSACTIONS ON SMART GRID (2015)
Detection and Classification of Single and Combined Power Quality Disturbances Using Neural Networks
Martin Valtierra-Rodriguez et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2014)
A Combination of Shunt Hybrid Power Filter and Thyristor-Controlled Reactor for Power Quality
Salem Rahmani et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2014)
Power Quality Event Classification Under Noisy Conditions Using EMD-Based De-Noising Techniques
Stuti Shukla et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2014)
Variational Mode Decomposition
Konstantin Dragomiretskiy et al.
IEEE TRANSACTIONS ON SIGNAL PROCESSING (2014)
Detection and characterization of multiple power quality disturbances with a fast S-transform and decision tree based classifier
Milan Biswal et al.
DIGITAL SIGNAL PROCESSING (2013)
Techniques and methodologies for power quality analysis and disturbances classification in power systems: a review
D. Granados-Lieberman et al.
IET GENERATION TRANSMISSION & DISTRIBUTION (2011)
Power quality disturbances analysis based on EDMRA method
Haibo He et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2009)
Intrinsic time-scale decomposition: time-frequency-energy analysis and real-time filtering of non-stationary signals
Mark G. Frei et al.
PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES (2007)
分享论文
