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Extracting the transient events from power system signals by independent component analysis
Federal University of Lavras, Engineering Department, Federal University of Lavras.
Federal University of Rio de Janeiro, COPPE/Poli.
Department of Electrical Circuits, Federal University of Juiz de Fora, Campus Universitário.
Federal University of Juiz de Fora, Minas Gerais, Department of Electrical Circuits, Federal University of Juiz de Fora, Campus Universitário.
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2016 (English)In: International Transactions on Electrical Energy Systems, E-ISSN 2050-7038, Vol. 26, no 4, p. 884-900Article in journal (Refereed) Published
Abstract [en]

This paper presents a method for extracting transient events from the power system signal based on independent component analysis. The extraction of transients is important to diagnose the system in terms of power quality, because the computation of power quality indices from the extracted events is more efficient and easier to be carried out. Furthermore, the proposed method can be applied as a preprocessing tool for transient characterization in disturbance detection, classification, and identification systems. Both qualitative and quantitative analyses demonstrate the efficiency and the advantages of the proposed method in comparison with other approaches commonly used for the same purpose.

Place, publisher, year, edition, pages
2016. Vol. 26, no 4, p. 884-900
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electric Power Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-4426DOI: 10.1002/etep.2114ISI: 000374789100010Scopus ID: 2-s2.0-84938099146Local ID: 25f23d53-d6aa-4ab5-8ac6-3af5cac8cd03OAI: oai:DiVA.org:ltu-4426DiVA, id: diva2:977299
Note

Validerad; 2016; Nivå 2; 20150811 (andbra)

Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2022-10-24Bibliographically approved

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Bollen, Math

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