Recently, power quality (PQ) issues have drawn considerable attention of the researchers
due to the increasing awareness of the customers towards power quality. The PQ issues …

The excessive use of power semiconductor devices in a grid utility increases the malfunction
of the control system, produces power quality disturbances (PQDs) and reduces the …

Recently, many signal-processing techniques, such as fast Fourier transform, short-time
Fourier transform, wavelet transform (WT), and wavelet packet transform (WPT), have been …

This paper aims at automatic classification of power quality events using Wavelet Packet
Transform (WPT) and Support Vector Machines (SVM). The features of the disturbance …

Power quality has become very important issue over the last decade. Poor quality can cause
equipment failure, data and economical. An automated monitoring system is needed to …

The increasing of sensitive electrical equipment in our technologies is the biggest issues to
power line system. The quality of electrical power supply becomes more concern to …

The joint time‐frequency representation (TFR) provides the useful hidden information of a
nonstationary signal consisting of several components. The time‐frequency analysis …

Identifying and analyzing events affecting power quality (PQ) is very important. Sudden
increases in voltages, voltage dips, and voltage harmonics represent some of the …

This paper presents the performance of polymeric and non-polymeric insulation material in
contaminated condition. The purpose of this study is to determine the accuracy of analysis …

A Fourier kernel based time-frequency transform is a proven candidate for non-stationary
signal analysis and pattern recognition because of its ability to predict time localized …