Statistical evaluation of a new technique for Sweep Frequency Response Analysis

Esam Al Murawwi, Braham Barkat, Redy Mardiana

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

This paper presents a statistical evaluation of a new technique for Sweep Frequency Response Analysis (SFRA). The new technique is based on the time-frequency distribution (TFD). Unlike the Fourier transform based (SFRA) which is a 1-dimensional representation, a TFD is a 2-dimensional representation where both time and frequency are present in one plot. Moreover, a 2-dimensional cross-correlation coefficient (CRC) was used for the proposed technique instead of 1-dimentional CRC which is used for the existing SFRA method. To assess the strength of the proposed technique, Monte-Carlo simulations are used and the average 1-dimentional and 2-dimentional cross correlation coefficients are measured for both SFRA and TFD, respectively.

Original languageBritish English
Title of host publicationPECon 2012 - 2012 IEEE International Conference on Power and Energy
Pages741-744
Number of pages4
DOIs
StatePublished - 2012
Event2012 IEEE International Conference on Power and Energy, PECon 2012 - Kota Kinabalu, Malaysia
Duration: 2 Dec 20125 Dec 2012

Publication series

NamePECon 2012 - 2012 IEEE International Conference on Power and Energy

Conference

Conference2012 IEEE International Conference on Power and Energy, PECon 2012
Country/TerritoryMalaysia
CityKota Kinabalu
Period2/12/125/12/12

Keywords

  • Cross-Correlation Coefficient
  • Fourier Transform
  • Monte-Carlo Simulation
  • Power Transformers
  • Sweep Frequency Response Analysis
  • Time-Frequency Analysis

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