Classification of Power Quality events using S-Transform by Visual Inspection -A Review

This paper presents an overview for feature extraction method using S transform from a disturbance waveform which is a new useful tool for classification of power quality problems in electrical power systems. According to researchers, the excellent time-frequency resolution characteristics of the S-transform can be effectively used for the analysis of power quality (PQ) disturbances under noisy condition and has the ability to detect the disturbance correctly. Features extracted using the S-transform can be applied to an artificial NN for automatic classification of the PQ disturbances. he simulation results shown states that the S-transform can effectively detect and classify different power quality disturbances by visual inspection also.