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...
Main Author: | Settipalli, Praveen |
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Format: | Others |
Published: |
UKnowledge
2007
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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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