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This paper investigates the applicability of decision tree, hidden Markov model, and probabilistic neural-network (PNN) classification techniques to distinguish the transients originating from the faults from those originating from normal switching events. Current waveforms due to different types of events, such as faults, load switching, and capacitor bank switching were generated using a high-voltage...
This paper deals with power-quality (PQ) event detection, classification and characterization using higher-order sliding cumulants (which are calculated over high-pass filtered signals to avoid the low-frequency 50-Hz sinusoid), whose maxima and minima are the coordinates of two-dimensional feature vectors. The classification strategy is based in competitive layers. We focus on the problem of differentiating...
This paper deals with power-quality (PQ) event characterization using higher-order cumulants. Their maxima and minima are the main features, and classification is based in competitive layers. We concentrate on differentiating two types of transients (short duration and long duration). By measuring the fourth-order cumulants' maxima and minima, we build the two- dimensional feature measured vector...
This paper deals with power-quality (PQ) event characterization using higher-order cumulants. Their maxima and minima are the main features, and classification is based in competitive layers. We concentrate on differentiating two types of transients (short duration and long duration). By measuring the fourth-order cumulants' maxima and minima, we build the two-dimensional feature measured vector....
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