Separation and recognition of multiple PQ disturbances using independent component analysis and neural networks

This work presents the development of a system for analysis of power quality multiple disturbances using a recent non-supervised technique called independent component analysis. An application of the technique on an automatic power quality disturbance classification system, based on higher-order cumulants and artificial neural networks, is also presented. Promising results are achieved for simulated data.