Classification of power disturbances using feature extraction in time-frequency plane

Abstract

An efficient feature extraction in the time-frequency plane is proposed for automatic classification of power disturbances. For that purpose, singular value decomposition and principal component analysis are utilised. Finally, the performance of the proposed approach is tested using a maximum likelihood predictor classifier.