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 …

This paper proposes an approach for identification of power quality (PQ) disturbances based
on improved particle swarm optimizer and support vector machine. In order to identify the PQ …

Classifying power quality (PQ) disturbances is one of the most important issues for power
quality control. A novel high-performance classification system based on the S-transform …

With the growth of nonlinear electrical equipment, power quality disturbances (PQDs) often
appear in electrical systems. To solve this, a practical heuristic methodology for PQD …

Identification, localization and classification of power quality disturbance is the precondition
of appropriate mitigation actions that can be taken. However, the signal under investigation …

This paper proposes an optimal feature selection approach, namely, probabilistic neural
network-based feature selection (PFS), for power-quality disturbances classification. The …

Power quality disturbances (PQD) are becoming more and more complicated due to the vast
growth of power quality oriented applications particularly the power electronic equipment's …

Analyzing power quality data manually requires a lot of time and special expertise. In this
paper, a new approach is shown for automatic identification power quality disturbance on …

This paper proposes a method to identify and classify power quality disturbances (PQD)
based on independent component analysis (ICA) and support vector machine (SVM). Firstly …