Monitoring nonstationary signals

A. M. Gaouda, M. M.A. Salama

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)


This paper presents a wavelet based technique for monitoring and measuring nonstationary power system disturbances. A significant improvement in monitoring efficiency is achieved by processing signals through Kaiser's window. This improvement is characterized by sparsity, separation, super-resolution, and stability. The maximum expansion coefficient extracted at each resolution level, the indices and sign of these coefficients at a super-resolution are used to monitor and measure the nonstationary behavior of signals. The proposed tool depends on the expansion coefficients and no reconstruction of these coefficients is required. The proposed monitoring technique is evaluated using large data sets of randomly variable magnitudes and frequencies.

Original languageEnglish
Pages (from-to)1367-1376
Number of pages10
JournalIEEE Transactions on Power Delivery
Issue number3
Publication statusPublished - 2009


  • Fast Fourier transform
  • Kaiser's window
  • Multiresolution analysis and wavelet transform
  • Nonstationary disturbances

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering


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