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

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:
Power Quality Classification|Frequency and Wavelet Domain|Multi-Resolution Analysis|Feed Forward Neural Networks|Adaptive-Resonance Theory Neural Networks
Online Access:http://uknowledge.uky.edu/gradschool_theses/430
http://uknowledge.uky.edu/cgi/viewcontent.cgi?article=1433&context=gradschool_theses

Internet

http://uknowledge.uky.edu/gradschool_theses/430
http://uknowledge.uky.edu/cgi/viewcontent.cgi?article=1433&context=gradschool_theses

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