Detection and Classification of Power Quality Disturbances Using Double Resolution S-Transform and DAG-SVMs
Explore this paper's citation graph
- Type
- article
- Published
- 2016-06-24
- Cited by
- 212
- References
- 30
- OpenAlex
- https://openalex.org/W2461851250
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:23811151
Keywords
Support vector machine, Robustness (evolution), Computer science, Feature extraction, Computational complexity theory
References
- A comparison of methods for multiclass support vector machines
- Time-Local Spectral Analysis for Non-Stationary Time Series: The S-Transform for Noisy Signals
- Localization of the complex spectrum: the S transform
- Virtual Multifunction Power Quality Analyzer Based on Adaptive Linear Neural Network
- A Real-Time Power Quality Disturbances Classification Using Hybrid Method Based on S-Transform and Dynamics
- Detection and Classification of Power Quality Disturbances Using Sparse Signal Decomposition on Hybrid Dictionaries
- Hybrid Wavelet and Hilbert Transform With Frequency-Shifting Decomposition for Power Quality Analysis
- Detection and Classification of Single and Combined Power Quality Disturbances Using Neural Networks
- Measurement and Classification of Simultaneous Power Signal Patterns With an S-Transform Variant and Fuzzy Decision Tree
- Disturbance classification utilizing dynamic time warping classifier
- Joint time-frequency analysis
- The norm of the Schur product operation
- A Tour of the Tour of the Hilbert-Huang Transform: An Empirical Tool for Signal Analysis
- Applications of the windowed FFT to electric power quality assessment
- Power quality disturbance data compression using wavelet transform methods
- Computational power of neural networks: a characterization in terms of Kolmogorov complexity
- Enhanced RBF Network for Recognizing Noise-Riding Power Quality Events
- A General Description of Linear Time-Frequency Transforms and Formulation of a Fast, Invertible Transform That Samples the Continuous S-Transform Spectrum Nonredundantly
- Theory of communication. Part 1: The analysis of information
- Power quality detection and classification using wavelet-multiresolution signal decomposition
Cited by
- A simplistic mathematical approach for detection and classification of power quality events
- Power quality disturbance classification based on wavelet transform and support vector machine
- Detection and classification of islanding and power quality disturbances in microgrid using hybrid signal processing and data mining techniques
- A Modified S-Transform and Random Forests-Based Power Quality Assessment Framework
- Identification of optimal features for fast and accurate classification of power quality disturbances
- Optimal Feature Selection via NSGA-II for Power Quality Disturbances Classification
- Detection of Power Quality Disturbances Using Empirical Wavelet Transform and Hilbert Transform
- Power quality disturbances classification based on curvelet transform
- Three-Layer Bayesian Network for Classification of Complex Power Quality Disturbances
- Recognition of Multiple PQ Issues using Modified EMD and Neural Network Classifier
- On the Application of Joint-Domain Dictionary Mapping for Multiple Power Disturbance Assessment
- Volterra bound interval type‐2 fuzzy logic‐based approach for multiple power quality events analysis
- Classification of power quality disturbances using dual strong tracking filters and rule‐based extreme learning machine
- A Data-Driven Modeling Strategy for Smart Grid Power Quality Coupling Assessment Based on Time Series Pattern Matching
- Variational mode decomposition and weighted online sequential extreme learning machine for power quality event patterns recognition
- Boosting performance of power quality event identification with KL Divergence measure and standard deviation
- Nonparametric Event Detection in Multiple Time Series for Power Distribution Networks
- Integral mathematical model of power quality disturbances
- Real-time system for automatic detection and classification of single and multiple power quality disturbances
- A Three Decades of Marvellous Significant Review of Power Quality Events Regarding Detection & Classification
Related papers
- A Directed Acyclic Graph (DAG) Ensemble Classification Model: An Alternative Architecture for Hierarchical Classification
- DAG: Stata module to provide utilities for directed acyclic graphs
- Optimal variable ordering in ZBDD-based path representations for directed acyclic graphs
- Optimizing Causal Orderings for Generating DAGs from Data
- DAG-SVM Multi-class Classification Based on Nodes Selection Optimization
- Network traffic classification based on improved DAG-SVM
- Performance robustness of feature extraction for target detection & classification