AUTOMATED CLASSIFICATION OF POWER QUALITY DISTURBANCES USING SIGNAL PROCESSING TECHNIQUES AND NEURAL NETWORKS

This thesis focuses on simulating, detecting, localizing and classifying the power quality disturbances using advanced signal processing techniques and neural networks. Primarily discrete wavelet and Fourier transforms are used for feature extraction, and classification is achieved by using neural n...

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Bibliographic Details
Main Author: Settipalli, Praveen
Format: Others
Published: UKnowledge 2007
Subjects:
Online Access:http://uknowledge.uky.edu/gradschool_theses/430
http://uknowledge.uky.edu/cgi/viewcontent.cgi?article=1433&context=gradschool_theses

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