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  • 标题:Voltage variations identification using gabor transform and rule-based classification method
  • 本地全文:下载
  • 作者:Weihown Tee ; M. R. Yusoff ; M. Faizal Yaakub
  • 期刊名称:International Journal of Electrical and Computer Engineering
  • 电子版ISSN:2088-8708
  • 出版年度:2020
  • 卷号:10
  • 期号:1
  • 页码:681-689
  • DOI:10.11591/ijece.v10i1.pp681-689
  • 出版社:Institute of Advanced Engineering and Science (IAES)
  • 摘要: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.
  • 关键词:Gabor transform;Power quality power;Quality disturbances;Rule-based method
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