• DocumentCode
    3602051
  • Title

    Transient-Based Rotor Cage Assessment in Induction Motors Operating With Soft Starters

  • Author

    Corral-Hernandez, Jesus A. ; Antonino-Daviu, Jose ; Pons-Llinares, Joan ; Climente-Alarcon, Vicente ; Frances-Galiana, Vicente

  • Author_Institution
    Inst. for Energy Eng., Univ. Politec. de Valencia, València, Spain
  • Volume
    51
  • Issue
    5
  • fYear
    2015
  • Firstpage
    3734
  • Lastpage
    3742
  • Abstract
    The reliable assessment of the rotor condition in induction motors is a matter of increasing concern in the industry. Although rotor damages are more likely in line-started motors operating under high inertias, some cases of broken rotor bars in motors supplied via soft starters have been also reported in the industry. Motor current signature analysis (MCSA) is the most widely spread approach to diagnose such failures. However, its serious drawbacks in many real industrial applications have encouraged investigation on alternative methods enhancing the reliability of the diagnosis. This paper extends a recently introduced diagnosis methodology relying on the startup current analysis to the case of soft-starter-operated motors. The approach has proven to provide very satisfactory results, even in cases where the classical MCSA does not lead to correct diagnosis conclusions. However, its extension to operation under soft starters was still a pending issue. The experimental results shown in this paper ratify the validity of the proposed diagnosis approach in soft-starter-operated induction motors.
  • Keywords
    reliability; rotors; squirrel cage motors; starting; MCSA; broken rotor bar; induction motor; line-started motor; motor current signature analysis; rotor damage diagnosis; soft starter; startup current analysis; transient-based rotor cage assessment reliability; Bars; Discrete wavelet transforms; Induction motors; Oscillators; Reliability; Rotors; Time-frequency analysis; Fault diagnosis; induction machines; rotor asymmetries; soft-starters; transient analysis; wavelet transforms;
  • fLanguage
    English
  • Journal_Title
    Industry Applications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0093-9994
  • Type

    jour

  • DOI
    10.1109/TIA.2015.2427271
  • Filename
    7097018