Voltage Variations Identification Using Gabor Transform And Rule-Based Classification Method

Abdullah, Abdul Rahim and Tee, Wei Hown and Yusoff, Mohd Rahimi and Yaakub, Muhamad Faizal (2020) Voltage Variations Identification Using Gabor Transform And Rule-Based Classification Method. International Journal of Electrical and Computer Engineering, 10 (1). pp. 681-689. ISSN 2088-8708

Text VOLTAGE VARIATIONS IDENTIFICATION USING GABOR TRANSFORM AND RULE-BASED CLASSIFICATION METHOD.PDF Download (1MB)

Abstract

This paper presents a comparatively contemporary easy to use technique for the identification and classification of voltage variations. The technique was established based on the Gabor Transform and the rule-based classification method. The technique was tested by using mathematical model of Power Quality (PQ) disturbances based on the IEEE Std 519-2009. The PQ disturbances focused were the voltage variations, which included voltage sag, swell and interruption. A total of 80 signals were simulated from the mathematical model in MATLAB and used in this study. The signals were analyzed by using Gabor Transform and the signal pattern, time-frequency representation (TFR) and root-mean-square voltage graph were presented in this paper. The features of the analysis were extracted, and rules were implemented in rule-based classification to identify and classify the voltage variation accordingly. The results showed that this method is easy to be used and has good accuracy in classifying the voltage variation.

Item Type:	Article
Uncontrolled Keywords:	Gabor transform, Power quality, Power quality disturbances, Rule-based method, Voltage Identification
Divisions:	Faculty of Electrical Engineering
Depositing User:	Sabariah Ismail
Date Deposited:	09 Dec 2020 14:56
Last Modified:	09 Dec 2020 14:56
URI:	http://eprints.utem.edu.my/id/eprint/24764
Statistic Details:	View Download Statistic

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