A new technique for a better sweep frequency response analysis interpretation

Esam Al Murawwi, Braham Barkat

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

6 Scopus citations

Abstract

This paper presents a new technique for a better and faster sweep frequency response analysis (SFRA) results' interpretation. The proposed technique is based on the time-frequency analysis. Unlike the Fourier transform (FT) which is a 1-dimensional representation, a time-frequency distribution (TFD) is a 2-dimensional representation where both time and frequency are present in one plot. Moreover, noise can affect the SFRA signal and affect the interpretation of the results which may lead to misinterpretation of the results. However, noise will have less effect on the TFD signal. By just looking at the TFD of the SFRA signal, we can conclude whether the signal comes from a healthy or unhealthy transformer. To quantitatively assess the strength of the proposed technique, we evaluate the cross-correlation coefficient of the computed TFDs. Different case studies are presented to show the superiority of the proposed technique compared to the existing FT based SFRA.

Original languageBritish English
Title of host publicationConference Record of the 2012 IEEE International Symposium on Electrical Insulation, ISEI 2012
Pages366-370
Number of pages5
DOIs
StatePublished - 2012
Event2012 19th IEEE International Symposium on Electrical Insulation, ISEI 2012 - San Juan, PR, United States
Duration: 10 Jun 201213 Jun 2012

Publication series

NameConference Record of IEEE International Symposium on Electrical Insulation
ISSN (Print)0164-2006

Conference

Conference2012 19th IEEE International Symposium on Electrical Insulation, ISEI 2012
Country/TerritoryUnited States
CitySan Juan, PR
Period10/06/1213/06/12

Keywords

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

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