The significance of detection and classification of power quality (PQ) events that disturbs the
voltage and/or current waveforms in the electrical power distribution networks is well known …

This paper presents features that characterize power quality disturbances from recorded
voltage waveforms using wavelet transform. The discrete wavelet transform has been used …

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 …

In the literature, wavelet techniques are proposed for the power quality analysis of power
systems. The choice of most suitable mother wavelet, which is a key to any meaningful …

This paper proposes a wavelet neural network (WNN) for SAR image segmentation by
combining the wavelet transform and an artificial neural network. The WNN combines the …

La fluctuación de voltaje es la primera causa del efecto lumínico flicker. Algunas
definiciones y estándares han sido propuestos para medir el grado del flicker. Uno de los …

Patter recognition can be used for crack size and type classification in ultrasonic
nondestructive evaluation. This paper presents a novel approach to estimate crack size and …

With the rapid development of computer technology and the wide application of Internet,
Web-based learning is now becoming an important learning form. The rapid development of …

In this work, a new event detection method for power quality analysis based on the statistical
analysis of adaptive decomposition signals is presented. The combination of an adaptive …

Implementation of the flickermeter based on the standard iec-61000-4-15 through the
discrete wavelet transform SciELO - Scientific Electronic Library Online vol.24 número4 Un …