Rule based system for power quality disturbance classification incorporating S-transform features

Mohammad E. Salem, Azah Mohamed, Salina Abdul Samad

Research output: Contribution to journalArticle

32 Citations (Scopus)

Abstract

Detection and classification of power quality (PQ) disturbances in real-time is an important consideration to electric utilities and many industrial customers so that diagnosis and mitigation of such disturbances can be implemented quickly. This paper presents the design and development of a rule based system for intelligent classification of PQ disturbances using the S-transform features. A hardware system has been designed using advanced digital signal processor to provide fast data capture and processing of signals using the S-transform analysis. Distinct features of various disturbances are extracted from the S-transform analysis in which these features are used to formulate rules. A rule-based expert system is developed to automate the process of classifying the various types of disturbances. The disturbance classification results prove that the developed rule based system is more accurate than the neural network in classifying PQ disturbances such as voltage sag, swell, impulsive transient, notching and interruption.

Original languageEnglish
Pages (from-to)3229-3235
Number of pages7
JournalExpert Systems with Applications
Volume37
Issue number4
DOIs
Publication statusPublished - Apr 2010

Fingerprint

Knowledge based systems
Power quality
Mathematical transformations
Electric utilities
Digital signal processors
Expert systems
Data acquisition
Neural networks
Hardware
Electric potential

Keywords

  • Disturbance classification
  • Power quality
  • Rule based technique
  • S-transform algorithm

ASJC Scopus subject areas

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

Cite this

Rule based system for power quality disturbance classification incorporating S-transform features. / Salem, Mohammad E.; Mohamed, Azah; Abdul Samad, Salina.

In: Expert Systems with Applications, Vol. 37, No. 4, 04.2010, p. 3229-3235.

Research output: Contribution to journalArticle

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