Implementation of a Power Quality Signal Classification System using Wavelet based Energy Distribution and Neural Network

Sebastian, Praveen and Dsa, Pramod Antony (2015) Implementation of a Power Quality Signal Classification System using Wavelet based Energy Distribution and Neural Network. In: International Conference on Power and Advanced Control Engineering, 2015.

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Abstract

Abstract—This paper presents a classification system based on Wavelet Transform for normal Power Quality disturbances. The parameter used for the classification algorithm was energy distribution of detailed coefficient of Wavelet Transform up to 10 leveles of decomposition.Wavelet Transform parameters are effective in classification of disturbance waveforms.Artificial Neural Network was used for the classification purpose which gave satisfactory results.And the algorithm developed in MATLAB was interfaced with Data Acquisition devices to check its accuracy for online classification purpose

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Power Quality,Wavelet Transform,Wavelet Energy, Classification,,Artificial Neural Network,Online Classification, Classification Algorithm.
Subjects: Engineering > MIT Manipal > Electrical and Electronics
Depositing User: MIT Library
Date Deposited: 15 Dec 2015 14:37
Last Modified: 15 Dec 2015 14:37
URI: http://eprints.manipal.edu/id/eprint/144761

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