An image processing based method for power quality event identification

Hussain Shareef, Azah Mohamed, Ahmad Asrul Ibrahim

Research output: Contribution to journalArticlepeer-review

29 Citations (Scopus)


This paper presents a novel technique to visualize and detect various power quality disturbance events. It is based on the image processing methods known as grayscale images and binary images. Gray image created from recorded disturbance voltage waveform is first represented as a transverse wave having compressions and rarefactions. Then using image enhancement techniques, the unique features of the disturbance waveform are visualized. Furthermore, the patterns obtained for a pure sine signal and the signal with disturbances are compared for identification of the signal with disturbance. The decision regarding the disturbance type is made using binary image analysis techniques. Finally, to exhibit the novelty of the proposed method, a comparison is made with a conventional image processing based power quality event detection method. In addition, evaluation studies for verifying the accuracy of the method are presented.

Original languageEnglish
Pages (from-to)184-197
Number of pages14
JournalInternational Journal of Electrical Power and Energy Systems
Issue number1
Publication statusPublished - Mar 2013
Externally publishedYes


  • Binary images
  • Disturbance classification
  • Grayscale patterns
  • Image processing
  • Power quality

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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