Short duration power quality disturbances fuzzy pattern recognition using generalized S-transform
Peng Jian-chun · Power System Protection and Control · 2008
A new approach of classification of short duration power quality disturbances using generalized S-transform and fuzzy pattern recognition is proposed.First,the generalized S-tranform is utilized to produce module matrixes of disturbances and then 4 simple statistical features are extracted from the matrixes.Finally,a fuzzy pattern recognition system is used for the classification of distrubances in which the maximal membership value is adopted.The simulation results show that the proposed classification method is an effective technique for building up a pattern recognition system of power disturbance signals and technique is feasible for real applications for its significant accuracy and immuning to noise.