This paper presents a new methodology based on Independent Component Analysis (ICA) for power quality disturbance analysis. The proposed methodology aims at analyzing power quality disturbances that appear as mixtures in the voltage signal. Such disturbances are commonly referred to as multiple disturbances. Results are obtained from both simulated and experimental data showing that disturbance classification higher than 97% can be achieved. The results are attractive for practical applications in power quality systems.
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