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Wavelet and Neural Structure: A New Tool for Diagnostic of Power System Disturbances

Opened Access Wavelet and Neural Structure: A New Tool for Diagnostic of Power System Disturbances

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Autor: Borrás Talavera, M. Dolores
Castilla Ibáñez, Manuel
Moreno-Alfonso, Narciso
Montaño, Juan-Carlos
Departamento: Universidad de Sevilla. Departamento de Ingeniería Eléctrica
Fecha: 2001
Tipo de documento: Artículo
Resumen: The Fourier transform can be used for analysis of nonstationary signals, but the Fourier spectrum does not provide any time-domain information about the signal. When the time localization of the spectral components is needed, a wavelet transform giving the time-frequency representation of the signal must be used. In this paper, using wavelet analysis and neural systems as a new tool for the analysis of power system disturbances, disturbances are automatically detected, compacted, and classified. An example showing the potential of these techniques for diagnosis of actual power system disturbances is presented.
Cita: Borrás Talavera, M.D., Castilla Ibáñez, M., Moreno-Alfonso, N. y Montaño, J. (2001). Wavelet and Neural Structure: A New Tool for Diagnostic of Power System Disturbances. IEEE Transactions on Industry Applications, 37 (1), 184-190.Borrás Talavera, M.D., Castilla Ibáñez, M., Moreno-Alfonso, N. y Montaño, J. (2001). Wavelet and Neural Structure: A New Tool for Diagnostic of Power System Disturbances. IEEE Transactions on Industry Applications, 37 (1), 184-190.
Tamaño: 226.0Kb
Formato: PDF

URI: https://hdl.handle.net/11441/70237

DOI: 10.1109/28.903145

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