Application of extension neural network with discrete wavelet transform and Parseval's theorem for power quality analysis
The development of renewable energy and the increase of intermittent fluctuating loads
have affected the power quality of power systems, and in the long run, damage the power …
have affected the power quality of power systems, and in the long run, damage the power …
Power quality disturbances detection and classification using complex wavelet transformation and artificial neural network
L Hua, W Yuguo, Z Wei - 2007 Chinese Control Conference, 2007 - ieeexplore.ieee.org
This paper presents a novel power quality disturbance detection and classification method
of distribution power system based on complex wavelet transform (WT) and radial basis …
of distribution power system based on complex wavelet transform (WT) and radial basis …
Recognition and classification of power quality disturbances based on self-adaptive wavelet neural network
WM Tong, XL Song, DZ Zhang - Advances in Neural Networks-ISNN 2006 …, 2006 - Springer
This paper presents a novel self-adaptive wavelet neural network method for automatic
recognition and classification of power quality disturbances. The types of disturbances …
recognition and classification of power quality disturbances. The types of disturbances …
Power quality disturbance classification using S-transform and hidden Markov model
S Hasheminejad, S Esmaeili… - … Power Components and …, 2012 - Taylor & Francis
In this article, a combination method based on S-transform and the hidden Markov model is
presented for power quality disturbance classification. S-transform is a new method that has …
presented for power quality disturbance classification. S-transform is a new method that has …
A self-organizing learning array system for power quality classification based on wavelet transform
H He, JA Starzyk - IEEE Transactions on Power Delivery, 2005 - ieeexplore.ieee.org
This paper proposed a novel approach for the Power Quality (PQ) disturbances
classification based on the wavelet transform and self organizing learning array (SOLAR) …
classification based on the wavelet transform and self organizing learning array (SOLAR) …
Classification Strategy for Power Quality Disturbances Based on Variational Mode Decomposition Algorithm and Improved Support Vector Machine
L Gao, J Wang, M Zhang, S Zhang, H Wang, Y Wang - Processes, 2024 - mdpi.com
With the continuous improvement in production efficiency and quality of life, the
requirements of electrical equipment for power quality are also increasing. Accurate …
requirements of electrical equipment for power quality are also increasing. Accurate …
Power quality disturbances classification based on curvelet transform
Y Shen, F Hussain, H Liu, D Addis - International Journal of …, 2018 - Taylor & Francis
This article presents a novel method for power quality disturbances (PQDs) classification
based on curvelet transform (CT), locality preserving projection (LPP), and multi-class …
based on curvelet transform (CT), locality preserving projection (LPP), and multi-class …
An effective wavelet-based feature extraction method for classification of power quality disturbance signals
M Uyar, S Yildirim, MT Gencoglu - Electric power systems Research, 2008 - Elsevier
This paper presents a wavelet norm entropy-based effective feature extraction method for
power quality (PQ) disturbance classification problem. The disturbance classification …
power quality (PQ) disturbance classification problem. The disturbance classification …
The effects on classifier performance of 2D discrete wavelet transform analysis and whale optimization algorithm for recognition of power quality disturbances
Power Quality (PQ) is becoming more and more important day by day in the electric network.
Signal processing, pattern recognition and machine learning are increasingly being studied …
Signal processing, pattern recognition and machine learning are increasingly being studied …
Automatic power quality disturbance classification using wavelet, support vector machine and artificial neural network
V Vega, N Kagan, G Ordonez… - CIRED 2009-20th …, 2009 - ieeexplore.ieee.org
This paper considers two important classification algorithms for to classify several power
quality disturbances. Artificial Neural Network (ANN) and support vector machine (SVM) …
quality disturbances. Artificial Neural Network (ANN) and support vector machine (SVM) …