Detection of broken outer-cage bars for double-cage induction motors under the startup transient

Jose Antonino-Daviu, Martin Riera-Guasp, Joan Pons-Llinares, Jongbin Park, Sang Bin Lee, Jiyoon Yoo, Christian Kral

Research output: Contribution to journalArticlepeer-review

101 Citations (Scopus)


Unlike single-cage rotor fault detection, fast Fourier transform (FFT)-based steady-state spectrum analysis techniques can fail to detect outer-cage faults in double-cage induction motors due to the small outer-cage current under running conditions. Double-cage motors are typically employed in applications that require loaded starts. This makes the outer cage vulnerable to fatigue failure since it must withstand the high starting current and long startup time frequently. However, there are only a few publications that investigate detection techniques specifically for double-cage motors. In this paper, considering that the influence of the faulty outer cage is strong at startup due to the large outer-cage current, detection of outer-cage faults under the startup transient is investigated. A discrete-wavelet-transform-based method is proposed as a viable solution to the detection of outer-cage faults for double-cage motors. An experimental study on fabricated copper double-cage induction motors shows that the proposed method provides sensitive and reliable detection of double-cage rotor faults compared to FFT.

Original languageEnglish
Article number13
Pages (from-to)1539-1548
Number of pages10
JournalIEEE Transactions on Industry Applications
Issue number5
Publication statusPublished - 2012

Bibliographical note

Funding Information:
Manuscript received September 20, 2011; revised February 3, 2012; accepted April 9, 2012. Date of publication July 24, 2012; date of current version September 14, 2012. Paper 2011-EMC-500.R1, presented at the 2011 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, Bologna, Italy, September 5–8, and approved for publication in the IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS by the Electric Machines Committee of the IEEE Industry Applications Society. This work was supported in part by the Spanish “Ministerio de Educación y Ciencia,” in the framework of the “Programa Nacional de Proyectos de Investigación Fundamental,” under Project Reference DPI2008-06583/DPI, and in part by the Human Resources Development of Korea Institute of Energy Technology Evaluation and Planning under Grant 20114010203010 funded by the Korean Government Ministry of Knowledge Economy.


  • AC machine
  • condition monitoring
  • double-cage rotor
  • fast Fourier transform (FFT)
  • fault diagnostics
  • induction motor
  • motor current signature analysis (MCSA)
  • outer-cage fault
  • transient analysis
  • wavelet transform

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering


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