Power quality diagnosis using time frequency analysis and rule based techniques

M. Faisal, A. Mohamed, H. Shareef, A. Hussain

Research output: Contribution to journalArticlepeer-review

20 Citations (Scopus)

Abstract

Diagnosing a power quality disturbance means identifying the type and cause of the disturbance. Fast diagnosis of power quality disturbances is important so as to assist network operators in performing counter measures and implementing suitable power quality mitigation actions. In this study a novel method for performing power quality diagnosis is presented by using the S-transform and rule based classification techniques. The proposed power quality diagnosis method was evaluated for its functionality in detecting the type of short duration voltage disturbances and identifying the cause of the disturbances which may be due to permanent or non permanent faults. Based on the results, this new method has the potential to be used in the existing real time power quality monitoring system in Malaysia to expedite the diagnosis on the recorded voltage disturbances.

Original languageEnglish
Pages (from-to)12592-12598
Number of pages7
JournalExpert Systems with Applications
Volume38
Issue number10
DOIs
Publication statusPublished - Sep 15 2011
Externally publishedYes

Keywords

  • Event identification
  • Power quality diagnosis
  • Power quality monitoring
  • Rule-based
  • S-transform

ASJC Scopus subject areas

  • Engineering(all)
  • Computer Science Applications
  • Artificial Intelligence

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