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- W2002246019 abstract "This paper deals with the automatic classification of power quality transients according to their amplitudes and frequencies, and following the geometrical pattern previously established via higher-order statistical measurements. The clustering is achieved thanks to the third and fourth-order features associated to these electrical anomalies, which in turn are coupled to the 50-Hz power-line. The main contribution of the paper is the novel finding that the maxima and the minima of these higher-order cumulants distribute according families of curves of constant frequency or constant amplitude. A couple of extremes (min-max) of the higher-order statistical estimator belongs to a couple of curves (constant-frequency and constant-amplitude). The random grouping along each curve reveals the a priori hidden geometry, in turn linked to the subjacent electrical anomaly. The 2D (amplitude-frequency) regular surface grid in the input space experiments a transformation to both output spaces, which is developed via the higher-order non-linear mapping." @default.
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- W2002246019 date "2011-06-01" @default.
- W2002246019 modified "2023-10-18" @default.
- W2002246019 title "Tracks of power quality transients in high order statistics spaces" @default.
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- W2002246019 doi "https://doi.org/10.1109/cpe.2011.5942205" @default.
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