• DocumentCode
    2402511
  • Title

    Time harmonics investigation of stator and rotor currents of a dedicated induction machine

  • Author

    Donadio, L. ; Zucca, M. ; Bellini, A. ; Concari, C. ; Lorenzani, Emilio

  • Author_Institution
    IEN, Torino
  • fYear
    2005
  • fDate
    15-15 May 2005
  • Firstpage
    1820
  • Lastpage
    1825
  • Abstract
    Condition monitoring of electric machines is of increasing importance. The continuous assessment of the machine performance allows to schedule appropriately maintenance operations, thus increasing machine operating life and reducing repair cost. The input current spectrum is a wide spread procedure for non-invasive diagnosis of induction machines. Information on rotor variables are available only by computation, typically by FEM. Experimental results are difficult to achieve: specific sensors must be mounted on the rotor to detect currents or flux density. In this paper a dedicated machine and experimental set-up, developed at IEN, was used, that allows to detect single bar currents through sensors positioned on the rotor bars. So doing it is possible to compute both rotor phase currents and space vector spectra. The main phenomena, that introduce waveform distortion, are briefly recalled and the corresponding spectrum lines for both stator and rotor currents are reported and analyzed in this paper
  • Keywords
    asynchronous machines; condition monitoring; cost reduction; electric sensing devices; finite element analysis; maintenance engineering; rotors; stators; FEM; IEN; condition monitoring; dedicated induction machine; electric machines; flux density detection; input current spectrum; machine operating life; maintenance operations; noninvasive diagnosis; repair cost reduction; rotor bars; rotor currents; rotor phase currents; rotor variables; sensors; single bar currents detection; space vector spectra; stator currents; time harmonics investigation; waveform distortion; Bars; Circuits; Condition monitoring; Costs; Distributed computing; Electric machines; Frequency; Induction machines; Sensor phenomena and characterization; Stators;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Machines and Drives, 2005 IEEE International Conference on
  • Conference_Location
    San Antonio, TX
  • Print_ISBN
    0-7803-8987-5
  • Electronic_ISBN
    0-7803-8988-3
  • Type

    conf

  • DOI
    10.1109/IEMDC.2005.195967
  • Filename
    1531585