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

• Main Authors: Abdullah, Abdul Rahim, Tee, Wei Hown, Yusoff, Mohd Rahimi, Yaakub, Muhamad Faizal
• Format: Article
• Language: English
• Published: Institute of Advanced Engineering and Science 2020
• Online Access: http://eprints.utem.edu.my/id/eprint/24764/2/VOLTAGE%20VARIATIONS%20IDENTIFICATION%20USING%20GABOR%20TRANSFORM%20AND%20RULE-BASED%20CLASSIFICATION%20METHOD.PDF; http://eprints.utem.edu.my/id/eprint/24764/; http://ijece.iaescore.com/index.php/IJECE/article/view/17922/13538

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.