Enhancing wavelet based monitoring

A. M. Gaouda

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


This paper presents a new technique that can be implemented for enhancing wavelet-based monitoring techniques. A Windowed Wavelet Transform is proposed to increase the accuracy of the wavelet-multi-resolution decomposition and reduce the number of the expansion coefficients that have non-zero magnitude. Furthermore, the maximum wavelet decomposition level assigned for each wavelet can be extended to simultaneously capture high and low frequency contents embedded in any signal. Fast Fourier transform (FFT), short-time Fourier transform (STFT) and Wavelet Transform (WT) are discussed and compared with the proposed technique. The capability of monitoring multi-disturbances that may exist at the same data-window is investigated by implementing the proposed technique in monitoring the interaction between capacitor banks in a distorted distribution system.

Original languageEnglish
Pages (from-to)51-59
Number of pages9
JournalEngineering Intelligent Systems
Issue number1
Publication statusPublished - Mar 2008


  • Capacitor switching
  • FFT
  • STFT
  • WT and multi-resolution signal decomposition

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering


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