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This paper presents pattern recognition of time series data and subsequent temporal data mining of power signal disturbance events that occur frequently in power distribution networks using multiresolution S-transform and Fuzzy Multilayer Perceptron network (Fuzzy MLP). The muliresolution S-transform yields relevant features, which are used in a Fuzzy expert system to separate the transient time series data and steady state short-term duration time series data including various harmonic time series. The transient time series data is then passed through the Fuzzy MLP to yield a set of rules required for recognition of various transient disturbance patterns (power quality events).
Date of Conference: 30-31 March 2012