This paper presents a wavelet norm entropy-based effective feature extraction method for
power quality (PQ) disturbance classification problem. The disturbance classification …

This paper introduces a novel approach to detect and classify power quality disturbance in
the power system using radial basis function neural network (RBFNN). The proposed …

Electroencephalogram (EEG) is a technique for recording the asynchronous activation of
neuronal firing inside the brain with non-invasive scalp electrodes. Artifacts, such as eye …

By means of the wavelet transform (WT), a power quality (PQ) monitoring system could
easily and correctly detect and localize the disturbances in the power systems. However, the …

This paper deals with the comparison of signal processing tools for power quality analysis.
Two signal processing techniques are considered: the wavelet filters and the discrete short …

The authors present an automatic classification of different power quality (PQ) disturbances
using wavelet packet transform (WPT) and fuzzy k-nearest neighbour (FkNN) based …

This paper presents an integrated model for recognizing power-quality disturbances (PQD)
using a novel wavelet multiclass support vector machine (WMSVM). The so-called support …

The most critical attribute of a power control strategy for a fuel cell (FC) and ultracapacitor
(UC) based hybrid vehicular power system is the sharing of load demand between available …