Classification of power quality event using wavelet transform and associaton rules

In this paper, a classification system based on association rule to determine the types of power quality event is presented. Firstly, a single feature vector representing three phase event signal is obtained by applying the wavelet transform to event signals in this system. The inputs of generating association rules algorithm are obtained by applying proper transform process to these feature vectors. Later, obtained rules and support values belong to these rules are stored in a database and used for classification process. Then, power quality events obtained from ATP/EMTP software are applied to the proposed classification system. The results showed that proposed system has high classification accuracy.