Power quality detection and classification using wavelet-multiresolution signal decomposition

A. M. Gaouda, M. M.A. Salama, M. R. Sultan, A. Y. Chikhani

Research output: Contribution to journalArticlepeer-review

547 Citations (Scopus)


The wavelet transform is introduced as a powerful tool for monitoring power quality problems generated due to dynamic performance of industrial plants. The paper presents a multiresolution signal decomposition technique as an efficient method in analyzing transient events. The multiresolution signal decomposition has the ability to detect and localize transient events and furthermore classify different power quality disturbances. It can also be used to distinguish among similar disturbances.

Original languageEnglish
Pages (from-to)1469-1476
Number of pages8
JournalIEEE Transactions on Power Delivery
Issue number4
Publication statusPublished - Oct 1999
Externally publishedYes

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering


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