Advanced diagnosis of outer cage damage in double squirrel cage induction motors under time-varying condition based on wavelet analysis

Yasser Gritli, Sang Bin Lee, Fiorenzo Filippetti, Luca Zarri

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

Rotor fault diagnosis of induction machines is commonly realized through Motor Current Signature Analysis (MCSA), i.e., by classical spectrum analysis of the input currents. However, this technique may fail in the case of outer cage damage of double cage induction motors, due to the small current circulation in the rated operating conditions. The situation is more complicated under time-varying conditions, where the typical Rotor Fault Frequency Components (RFFCs), which appear in the phase current spectrum of faulty motors, are spread in a bandwidth proportional to the speed variation and are difficult to detect accurately. A new diagnosis method based on the combined use of Double-Frequency Sliding (DFS) and Discrete Wavelet Transform (DWT) is proposed here for the analysis of the stator phase current. A experimental study on a copper-made double cage separate end ring rotor shows the validity of the proposed approach, leading to an effective diagnosis procedure for fault detection in double cage motors under time-varying conditions.

Original languageEnglish
Title of host publication2012 IEEE Energy Conversion Congress and Exposition, ECCE 2012
Pages1284-1290
Number of pages7
DOIs
Publication statusPublished - 2012
Event4th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2012 - Raleigh, NC, United States
Duration: 2012 Sep 152012 Sep 20

Publication series

Name2012 IEEE Energy Conversion Congress and Exposition, ECCE 2012

Other

Other4th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2012
CountryUnited States
CityRaleigh, NC
Period12/9/1512/9/20

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Fuel Technology

Fingerprint Dive into the research topics of 'Advanced diagnosis of outer cage damage in double squirrel cage induction motors under time-varying condition based on wavelet analysis'. Together they form a unique fingerprint.

  • Cite this

    Gritli, Y., Lee, S. B., Filippetti, F., & Zarri, L. (2012). Advanced diagnosis of outer cage damage in double squirrel cage induction motors under time-varying condition based on wavelet analysis. In 2012 IEEE Energy Conversion Congress and Exposition, ECCE 2012 (pp. 1284-1290). [6342668] (2012 IEEE Energy Conversion Congress and Exposition, ECCE 2012). https://doi.org/10.1109/ECCE.2012.6342668