Fault detection of eccentricity by means of joint time-frequency analysis in PMSM under dynamic conditions

  • J. Rosero*
  • , J. Cusidó
  • , A. García
  • , L. Romeral
  • , J. A. Ortega
  • *Corresponding author for this work

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

3 Citations (Scopus)

Abstract

This paper presents a study of eccentricity fault detection in permanent magnet synchronous machines (PMSM), under dynamic conditions. The fault simulation was made by means of two-dimensional (2-D) finite element analysis (FEA). Joint time - frequency transforms, as Wigner Ville distribution (WVD) and Zao-Atlas-Marks distribution, were proposed for signal analysis. Simulations carried out were compared with experimental results.

Original languageEnglish
Title of host publication2007 IEEE International Symposium on Intelligent Signal Processing, WISP
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event2007 IEEE International Symposium on Intelligent Signal Processing, WISP - Alcala de Henares, Spain
Duration: 3 Oct 20075 Oct 2007

Publication series

Name2007 IEEE International Symposium on Intelligent Signal Processing, WISP

Conference

Conference2007 IEEE International Symposium on Intelligent Signal Processing, WISP
Country/TerritorySpain
CityAlcala de Henares
Period3/10/075/10/07

Keywords

  • Drives
  • Eccentricity
  • FEA
  • Fault
  • PMSM
  • Time-frequency analysis
  • Wigner-ville distribution
  • Zao-atlas-marks distribution

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