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metadata.artigo.dc.title: Detection of power quality disturbance using a multidimensional approach in an embedded system
metadata.artigo.dc.creator: Mendes, Thais Martins
Faria, Euler Rodrigues Souza
Perle, Lucas Aparecido Vizioli
Ribeiro, Eduardo Godinho
Ferreira, Danton Diego
Barbosa, Bruno Henrique Groenner
Duque, Carlos Augusto
metadata.artigo.dc.subject: Monitoring
Field programmable gate arrays
Power quality
Real-time systems
Signal to noise ratio
metadata.artigo.dc.publisher: Institute of Electrical and Electronics Engineers Jul-2019
metadata.artigo.dc.identifier.citation: MENDES, T. M. et al. Detection of power quality disturbance using a multidimensional approach in an embedded system. IEEE Latin America Transactions, [S.l.], v. 17, n. 7, p. 1102-108, July 2019.
metadata.artigo.dc.description.abstract: Power Quality (PQ) has emerged as an important research field in recent years. The development and increasing use of high power converters and the increase of non linear loads with high power cause unwanted changes in the electrical signals (current and voltage). These changes are called electrical disturbances. To understand such disturbances and investigate their causes, they must be firstly detected. This work proposes a real time multidimensional approach for detecting PQ disturbances. The innovation of this work is the use of a deviation measure easily extracted from a multidimensional data space to quantify the PQ disturbances. The method was implemented in a FPGA (Field-programmable gate array) device using a LabVIEW interface. It performed well with high detection rates and low computational complexity for both simulated and real signals. The proposed deviation measure may be useful as a general power quality index.
metadata.artigo.dc.language: en_US
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DEG - Artigos publicados em periódicos

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