Detection and classification of power quality disturbances using discrete wavelet transform and wavelet networks

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Detection and classification of power quality disturbances using discrete wavelet transform and wavelet networks

A novel approach for detection and classification of power quality (PQ) disturbances is proposed. The distorted waveforms (PQ events) are generated based on the IEEE 1159 standard, captured with a sampling rate of 20 kHz and de-noised using discrete wavelet transform (DWT) to obtain signals with hig...

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Bibliographic Details
Main Authors:	Masoum, Mohammad, Jamali, S., Ghaffarzadeh, N.
Format:	Journal Article
Published:	Institution of Engineering and Technology 2010
Online Access:	http://hdl.handle.net/20.500.11937/17635

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