Application of extension neural network with discrete wavelet transform and Parseval's theorem for power quality analysis

SD Lu, HW Sian, MH Wang, RM Liao - Applied Sciences, 2019 - mdpi.com
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 …

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 …

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 …

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 …

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 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 …

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 …

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 …

The effects on classifier performance of 2D discrete wavelet transform analysis and whale optimization algorithm for recognition of power quality disturbances

S Karasu, Z Saraç - Cognitive Systems Research, 2022 - Elsevier
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 …

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) …