Wavelet network-based classification of transients using dominant frequency signature
This paper presents a novel approach of classification of transients resulting from changes
in circuit topology in a radial distribution system. The analysed data are obtained from …
in circuit topology in a radial distribution system. The analysed data are obtained from …
Applications of wavelets and neural networks for classification of power system dynamics events
S Avdakovic, A Nuhanovic… - Turkish Journal of …, 2014 - journals.tubitak.gov.tr
This paper investigates the possibility of classifying power system dynamics events using
discrete wavelet transform (DWT) and a neural network (NN) by analyzing one variable at a …
discrete wavelet transform (DWT) and a neural network (NN) by analyzing one variable at a …
[PDF][PDF] Classification of transient phenomena in distribution system using wavelet transform
A Sedighi - Journal of Electrical Engineering, 2014 - sciendo.com
An efficient procedure for classification of transient phenomena in distribution systems is
proposed in this paper. The proposed method has been applied to classify some transient …
proposed in this paper. The proposed method has been applied to classify some transient …
Accurate identification and characterisation of transient phenomena using wavelet transform and mathematical morphology
E Guillén‐García, L Morales‐Velazquez… - IET Generation …, 2019 - Wiley Online Library
Electric transient events are recurrent phenomena in electrical installations and distribution
systems or grids; hence, the identification of these kinds of phenomena has become an …
systems or grids; hence, the identification of these kinds of phenomena has become an …
Feature analysis of numerical calculated data from Sweep Frequency Analysis (SFRA) traces using self organizing maps
This paper presents a comprehensive investigation of the Self Organizing Map (SOM)
classification process of good and defective power distribution transformers. Three main …
classification process of good and defective power distribution transformers. Three main …
A novel technique employing DWT-based envelope analysis for detection of power system transients
A Chakraborty, R Mandal - 2017 International Conference on …, 2017 - ieeexplore.ieee.org
This study reports a novel technique for detection of power system transients based on
discrete wavelet transform based envelope analysis. Existence of transients in power …
discrete wavelet transform based envelope analysis. Existence of transients in power …
Automatic diagnosis of voltage disturbances in power distribution networks
VA Barrera Núñez - 2012 - dugi-doc.udg.edu
This thesis proposes a framework for identifying the root-cause of a voltage disturbance, as
well as, its source location (upstream/downstream) from the monitoring place. The …
well as, its source location (upstream/downstream) from the monitoring place. The …
Autonomous neural models for the classification of events in power distribution networks
This paper presents a method for automatic classification of faults and transients in power
distribution networks, based on voltage oscillographies of the distribution networks feeders …
distribution networks, based on voltage oscillographies of the distribution networks feeders …
Fault detection and classification method using DWT and SVM in a power distribution network
XG Magagula, Y Hamam, JA Jordaan… - 2017 IEEE PES …, 2017 - ieeexplore.ieee.org
This paper presents a technique of fault feature extraction, detection and classification of
short circuit faults in a power distribution network. A reduced 88 kV power distribution …
short circuit faults in a power distribution network. A reduced 88 kV power distribution …
Application of wavelet multi-resolution analysis & perceptron neural networks for classification of transients on transmission line
F Mahmood, SA Qureshi… - 2008 Australasian …, 2008 - ieeexplore.ieee.org
This paper proposes a technique that uses Wavelet Multiresolution Analysis (MRA) and
Neural Networks for the detection and classification of transients in a power system …
Neural Networks for the detection and classification of transients in a power system …