• DocumentCode
    2648970
  • Title

    Inter-turn short circuit fault diagnosis for PMSM based on complex gauss wavelet

  • Author

    Chen, Zheng ; Qi, Rong ; Lin, Hui

  • Author_Institution
    Northwestern Polytech. Univ., Xi´´an
  • Volume
    4
  • fYear
    2007
  • fDate
    2-4 Nov. 2007
  • Firstpage
    1915
  • Lastpage
    1920
  • Abstract
    Nowadays a novel permanent magnetic fault tolerant synchronous motor which can realize electric, magnetic, heat, and physic insulation between each phase has brought broad attention in aeronautics and astronautics field. The key technique to achieve fault tolerant control is that system could detect custom electric fault on line. Because the signal of few turns when encountering short circuits is feeble, on line detecting fault becomes extreme hard. Classical methods couldn ´t detect on line. The module maxima theory of one step complex gauss wavelet is adopted to analyze the motor´s instantaneous power, which can detect inter-turn fault efficiently. Theory analysis and simulation results approve this method´s efficiency and it provides a novel solution for permanent magnetic synchronous motor on line fault diagnostic.
  • Keywords
    fault diagnosis; fault tolerance; machine control; permanent magnet motors; synchronous motors; wavelet transforms; complex gauss wavelet; fault tolerant control; inter-turn short circuit fault diagnosis; module maxima theory; permanent magnetic synchronous motor; Circuit faults; Dielectrics and electrical insulation; Electrical fault detection; Fault diagnosis; Fault tolerance; Gaussian processes; Magnetic analysis; Physics; Resistance heating; Synchronous motors; Permanent magnetic synchronous motor (PMSM); complex gauss wavelet; instantaneous power; interturn short circuit;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wavelet Analysis and Pattern Recognition, 2007. ICWAPR '07. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-1065-1
  • Electronic_ISBN
    978-1-4244-1066-8
  • Type

    conf

  • DOI
    10.1109/ICWAPR.2007.4421769
  • Filename
    4421769