Simulation and Classification of Power Quality Events Based onWavelet Transform Energy Using Feature Selection Method

In this paper mathematical modeling method has been used in order to simulating of power quality events. In regarding to excellent neural network function in classification and pattern recognition works, multilayer neural network has been used for events classification. The STFT and Discrete Wavelet Transform are used for feature extraction. Acquired features of this step are decreased using advance algorithm of feature selection. Then these extracted features were given to the neural network as input. The simulation results showed that the classification precision of data caused by the algorithm of feature selection is better in compare with the precision of total data classification.

کلیدواژه ها:

Power quality ، neural network ، Wavelet transform ، Feature selection