Power quality disturbance detection and classification using signal processing and soft computing techniques: A comprehensive review
M Mishra - International transactions on electrical energy …, 2019 - Wiley Online Library
Power quality (PQ) studies have gained huge attention from the academics and the industry
over the past three decades. The main objective of this article is to provide a comprehensive …
over the past three decades. The main objective of this article is to provide a comprehensive …
A stacking ensemble classification model for detection and classification of power quality disturbances in PV integrated power network
P Radhakrishnan, K Ramaiyan, A Vinayagam… - Measurement, 2021 - Elsevier
This paper proposes a stacking ensemble classification model to classify the different Power
Quality Disturbances (PQDs) in Photovoltaic (PV) integrated power network. For this study …
Quality Disturbances (PQDs) in Photovoltaic (PV) integrated power network. For this study …
Power quality events recognition using enhanced empirical mode decomposition and optimized extreme learning machine
In this paper, a novel approach based on Empirical Mode Decomposition (EMD) and an
Extreme Learning Machine (ELM) for the detection and classification of Power Quality …
Extreme Learning Machine (ELM) for the detection and classification of Power Quality …
An ensemble approach of classification model for detection and classification of power quality disturbances in PV integrated microgrid network
A Vinayagam, V Veerasamy, P Radhakrishnan… - Applied soft …, 2021 - Elsevier
In this study, different Power Quality Disturbances (PQDs) in Photovoltaic (PV) integrated
Microgrid (MG) network have been detected and classified using a voting method of …
Microgrid (MG) network have been detected and classified using a voting method of …
[PDF][PDF] Gabor transform, spwvd, gabor-wigner transform and wavelet transform-tools for power quality monitoring
The one-dimension frequency analysis based on DFT (Discrete FT) is sufficient in many
cases in detecting power disturbances and evaluating power quality (PQ). To illustrate in a …
cases in detecting power disturbances and evaluating power quality (PQ). To illustrate in a …
A power quality detection and classification algorithm based on FDST and hyper-parameter tuned light-GBM using memetic firefly algorithm
Presently, the issue of power quality (PQ) disturbances in electrical power system has been
greater than before owing to increased use of power electronics based nonlinear loads. This …
greater than before owing to increased use of power electronics based nonlinear loads. This …
The mystery curve: a signal processing based power quality disturbance detection
R Narayanaswami, D Sundaresan… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this article, detection of power quality disturbances (PQD) in the power system utilizing
mystery curves has been discussed. This technique first estimates the analytic signal of the …
mystery curves has been discussed. This technique first estimates the analytic signal of the …
A random subspace ensemble classification model for discrimination of power quality events in solar PV microgrid power network
This study proposes SVM based Random Subspace (RS) ensemble classifier to
discriminate different Power Quality Events (PQEs) in a photovoltaic (PV) connected …
discriminate different Power Quality Events (PQEs) in a photovoltaic (PV) connected …
RETRACTED ARTICLE: Enhancing quality of service in wireless systems using iterative weighted least squares with fuzzy logic integration algorithm.
K Aggarwal, PN Renjith… - Optical & Quantum …, 2023 - search.ebscohost.com
Effective quality of service (QoS) management is essential to the smooth running of wireless
networks and to guarantee peak performance. This study suggests a unique method for …
networks and to guarantee peak performance. This study suggests a unique method for …
An optimal extreme learning-based classification method for power quality events using fractional Fourier transform
Mitigation of power quality events (PQEs) needs an accurate, faster, and efficient detection
and classification technique for designing the compensating devices as a remedial measure …
and classification technique for designing the compensating devices as a remedial measure …