• DocumentCode
    59288
  • Title

    Advanced Induction Motor Rotor Fault Diagnosis Via Continuous and Discrete Time–Frequency Tools

  • Author

    Pons-Llinares, Joan ; Antonino-Daviu, Jose A. ; Riera-Guasp, Martin ; Sang Bin Lee ; Tae-june Kang ; Chanseung Yang

  • Author_Institution
    Inst. de Ing. Energetica, Univ. Politec. de Valencia, València, Spain
  • Volume
    62
  • Issue
    3
  • fYear
    2015
  • fDate
    Mar-15
  • Firstpage
    1791
  • Lastpage
    1802
  • Abstract
    Transient-based fault diagnosis in induction motors has gained increasing attention over the recent years. This is due to its ability to avoid eventual wrong diagnostics of the conventional motor current signature analysis in certain industrial situations (presence of load toque oscillations, light loading conditions, and so on). However, the application of these transient methodologies requires the use of advanced signal processing tools. This paper presents a detailed comparison between the two main groups of transforms that are employed in transient analysis: discrete and continuous. This paper does not focus on trivial fault cases but on difficult real situations where the application of the conventional methods often leads to false diagnostics (outer bar breakages in double-cage motors, motors with rotor axial duct influence, and combined faults). Indeed, it is the first time that continuous tools are applied to some of these controversial situations. The results in this paper prove the special advantages of the continuous transforms, tearing down some false myths about their use.
  • Keywords
    fault diagnosis; induction motors; time-frequency analysis; advanced induction motor rotor fault diagnosis; advanced signal processing tools; continuous time-frequency tools; discrete time-frequency tools; double-cage motors; industrial situations; light loading conditions; load toque oscillations; motor current signature analysis; rotor axial duct influence; transient analysis; Discrete wavelet transforms; Harmonic analysis; Induction motors; Oscillators; Rotors; Transient analysis; AC motors; Fourier transforms; failure analysis; fault diagnosis; induction motors; maintenance; rotors; signal processing; transient analysis; wavelet transforms;
  • fLanguage
    English
  • Journal_Title
    Industrial Electronics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0046
  • Type

    jour

  • DOI
    10.1109/TIE.2014.2355816
  • Filename
    6894134