• DocumentCode
    2028947
  • Title

    Induction motor fault diagnosis based on a Hilbert current space vector pattern analysis

  • Author

    Ben Salem, Samira ; Bacha, Khmais ; Gossa, Moncef

  • Author_Institution
    Unit of Res.: Control, Monitoring & Reliability of the Syst., Higher Sch. of Sci. & Technol. of Tunis, Tunis, Tunisia
  • fYear
    2012
  • fDate
    25-28 March 2012
  • Firstpage
    818
  • Lastpage
    823
  • Abstract
    In this work we propose an original failure signature based on the current Hilbert-Park vector pattern analysis. The advantage of this approach is which does not require a long temporal recording, and their processing is simple. This analysis offers an easy interpretation to conclude on the induction motor condition and its voltage supply state. The proposed signature shows its robustness and its power especially in the case of unloaded machine. This approach was applied to a 1.1 kw induction motor under normal operation and with the following fault: voltage unbalanced, broken rotor bar, air-gap eccentricity and ball bearing defect.
  • Keywords
    air gaps; fault diagnosis; induction motors; Hilbert current space vector pattern analysis; Hilbert-Park vector pattern analysis; air-gap eccentricity; ball bearing defect; broken rotor bar; failure signature; induction motor fault diagnosis; long temporal recording; power 1.1 kW; voltage supply state; Air gaps; Induction motors; Rotors; Stator windings; Transforms; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrotechnical Conference (MELECON), 2012 16th IEEE Mediterranean
  • Conference_Location
    Yasmine Hammamet
  • ISSN
    2158-8473
  • Print_ISBN
    978-1-4673-0782-6
  • Type

    conf

  • DOI
    10.1109/MELCON.2012.6196555
  • Filename
    6196555