• DocumentCode
    2046020
  • Title

    The correlation analysis of PM inter-turn fault based on stator current and vibration signal

  • Author

    Yongcan Li ; Yongchun Liang

  • Author_Institution
    Dept. of Electr. Eng., Hebei Univ. of Sci. & Technol., Shijiazhuang, China
  • fYear
    2015
  • fDate
    2-5 Aug. 2015
  • Firstpage
    1733
  • Lastpage
    1737
  • Abstract
    Inter-turn fault is the most probably fault in permanent motor. It is important to find an useful method to diagnose the inter-turn fault before the permanent motor is broken. Stator windings current is always used to evaluate the inter-turn fault. But it is difficult to find small inter-turn fault using only stator current. The vibration signal and stator current are all detected and analyzed in this paper. LabVIEW is used to control the data acquisition system and receive the vibration and stator current signal. The vibration spectrum and stator current spectrum are obtained by FFT. These two spectrum is fused with the correlation analysis method. The correlation analysis method gives out more obvious feather of the inter-turn short circuit fault. Test shows that the permanent experimental system and the correlation analysis method can fully meet the requirements of permanent magnet synchronous motor fault test and research.
  • Keywords
    correlation methods; data acquisition; fast Fourier transforms; machine control; permanent magnet motors; stators; synchronous motors; vibrations; FFT; LabVIEW; PM interturn fault correlation analysis; data acquisition system; interturn short circuit fault; permanent magnet synchronous motor fault test; stator winding current; vibration signal; Circuit faults; Correlation; Permanent magnet motors; Stator windings; Synchronous motors; Vibrations; Inter-turn fault; PMSM; Stator current; The correlation Analysis; Vibration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation (ICMA), 2015 IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-7097-1
  • Type

    conf

  • DOI
    10.1109/ICMA.2015.7237747
  • Filename
    7237747