In this work, an automatic system was designed for classifying single and multiple disturbances in power systems. A filter bank was used for signal decomposition, which allows the decoupling of some disturbance classes, and makes it simpler the classifier design. The proposed system was designed using simulated data and tested for both simulated and experimental data. A global classification efficiency above 99% was achieved for the data set considered.
Power Quality; Multiple Disturbances; Filter Bank
