• DocumentCode
    2828856
  • Title

    Multiphysical modeling for fault detection in Permanent Magnet Synchronous Motors

  • Author

    Alameh, K. ; Cite, N. ; Hoblos, G. ; Barakat, G.

  • Author_Institution
    IRSEEM/ESIGELEC, St. Etienne du Rouvray, France
  • fYear
    2015
  • fDate
    17-19 March 2015
  • Firstpage
    781
  • Lastpage
    786
  • Abstract
    The aim of this paper is to present an analytical multiphysical model of Permanent Magnet Synchronous Motors (PMSMs) dedicated to fault detection purpose. The electromagnetic aspect is based on the analytical calculation of the Maxwell pressure in the air-gap. An existing mechanical approach is improved to compute natural frequencies of the machine taking into account its different parts. A better agreement has been obtained between analytical results and those issued from a Finite Element Analysis (FEA) applied to two different stator structures. The dynamic displacement signal of the stator is finally estimated in the space-time domain. Different operating modes of the machine can be simulated by changing some model parameters. In this paper, the rotor eccentricity fault is investigated and detected by the analysis of the vibration signal. Therefore, the proposed multiphysical model could provide healthy and faulty characteristics and could be suitably used for fault detection and diagnosis tasks.
  • Keywords
    fault diagnosis; finite element analysis; permanent magnet motors; stators; synchronous motors; vibrations; FEA; Maxwell pressure; PMSM; analytical multiphysical model; dynamic displacement signal; electromagnetic aspect; fault detection; fault diagnosis; finite element analysis; mechanical approach; multiphysical model; multiphysical modeling; natural frequencies; permanent magnet synchronous motors; rotor eccentricity fault; space-time domain; stator structures; vibration signal; Air gaps; Analytical models; Circuit faults; Stator cores; Stator windings; Vibrations; Analytical model; Eccentricity fault; Fault detection; Finite Element Analysis; Vibration signal;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Technology (ICIT), 2015 IEEE International Conference on
  • Conference_Location
    Seville
  • Type

    conf

  • DOI
    10.1109/ICIT.2015.7125193
  • Filename
    7125193