The proposed contribution describes a method for the detection and classiﬁcation of harmonic transients, as they occur in electrical networks. The method uses, as bases, a special class of wavelet-packets, i. e. smooth biorthogonal sine and cosine-packets in order to ﬁnd the best ’’Shannon-basis“. The algorithm is based on the minimization of Shannon‘s function for the decomposed wanted signal over the biorthogonal analyzing functions. The proposed method is validated by using a real application, signals from rail systems. One shows the fastness and the robustness of the algorithm and thus its real time applicability. In particular, one detects and classiﬁes inrush currents.
|Titolo:||Detection and classification of harmonic transients by using trigonometric smooth wavelet-packets|
|Citazione:||Detection and classification of harmonic transients by using trigonometric smooth wavelet-packets / P., Mercorelli; P., Terwiesch; Prattichizzo, Domenico. - In: AUTOMATISIERUNGSTECHNIK. - ISSN 0178-2312. - 50:11(2002), pp. 541-550.|
|Appare nelle tipologie:||1.1 Articolo in rivista|
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