Artículo
Educational software for power quality analysis
Fecha de publicación:
23/04/2013
Editorial:
Institute of Electrical and Electronics Engineers
Revista:
IEEE Latin America Transactions
ISSN:
1548-0992
Idioma:
Español
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
This paper presents educational software that allows users to generate, detect and classify electrical power disturbance signals using a Wavelet Transform and Neural Networks based algorithm. This software includes four main modules: a) Signal Acquisition Module that allows the incorporation of waveforms stored in a data base; b) Generation Module which permits the generation of diverse disturbed waveforms; c) Detections Module provides tools to analyze different disturbance detection algorithms and d) Classification Module that determines the disturbance type using different pattern classification methods. © 2003-2012 IEEE.
Palabras clave:
Power Quality
,
Simulation Softwar
,
Neural Network
,
Wavelet Transform
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Identificadores
Colecciones
Articulos(CCT - CORDOBA)
Articulos de CTRO.CIENTIFICO TECNOL.CONICET - CORDOBA
Articulos de CTRO.CIENTIFICO TECNOL.CONICET - CORDOBA
Citación
de Yong, David Marcelo; Reineri, Claudio Ariel; Magnago, Fernando; Educational software for power quality analysis; Institute of Electrical and Electronics Engineers; IEEE Latin America Transactions; 11; 1; 23-4-2013; 479-485
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