Combining multiple artificial neural networks using random committee to decide upon electrical disturbance classification
MMS Lira, RRB De Aquino, AA Ferreira… - … Joint Conference on …, 2007 - ieeexplore.ieee.org
An ANN-based automatic classifier for power system disturbance waveforms was
developed. Actual voltage waveforms were applied in the training process. Signals were …
developed. Actual voltage waveforms were applied in the training process. Signals were …
Evaluation and classification of power quality disturbances based on discrete wavelet transform and artificial neural networks
In this paper, detection method and classification technique of power quality disturbances is
presented. Due to the increase of nonlinear load recently, it becomes an essential …
presented. Due to the increase of nonlinear load recently, it becomes an essential …
Analysis of ultrawide-band detected partial discharges by means of a multiresolution digital signal-processing method
Ultrawide-band detection of partial discharges (PDs) mainly aims at recording the true
shape of a PD current signal. It is thus possible to achieve more useful information than that …
shape of a PD current signal. It is thus possible to achieve more useful information than that …
Power signal classification using dynamic wavelet network
A new approach to classification of non-stationary power signals based on dynamic wavelet
has been considered. This paper proposes a model for non-stationary power signal …
has been considered. This paper proposes a model for non-stationary power signal …
Empirical mode decomposition for power quality monitoring
Z Lu, JS Smith, QH Wu, J Fitch - 2005 IEEE/PES Transmission …, 2005 - ieeexplore.ieee.org
This paper presents an empirical mode decomposition (EMD) technique as a powerful tool
for monitoring power quality in electric power systems. As a multi-resolution signal …
for monitoring power quality in electric power systems. As a multi-resolution signal …
Power quality disturbance classification based on efficient adaptive Arrhenius artificial bee colony feature selection
Z Dawood, B CK - International Transactions on Electrical …, 2021 - Wiley Online Library
Automatic power quality disturbance (PQD) classification is a challenging task for industry
and utility. This work presents an algorithm for classifying the PQDs based on the …
and utility. This work presents an algorithm for classifying the PQDs based on the …
Methodology based on higher‐order statistics and genetic algorithms for the classification of power quality disturbances
LA Romero‐Ramirez, DA Elvira‐Ortiz… - IET Generation …, 2020 - Wiley Online Library
The present work proposes a methodology for the detection and classification of some
transient power quality disturbances. It uses a genetic algorithm for estimating the amplitude …
transient power quality disturbances. It uses a genetic algorithm for estimating the amplitude …
Detection and classification of power quality disturbances based on Hilbert-Huang transform and feed forward neural networks
This paper presents a hybrid detection method and classification Technique based on
Hilbert-Huang Transform (HHT) and Feed Forward Neural Networks (FFNNs) to improve the …
Hilbert-Huang Transform (HHT) and Feed Forward Neural Networks (FFNNs) to improve the …