• DocumentCode
    2275699
  • Title

    Fault detection algorithm of inverter based on singular value decomposition nonlinear filtering

  • Author

    Peng, Chen ; Ying, Zhao ; Enzeng, Dong ; Xin, Li

  • Author_Institution
    Sch. of Electr. & Autom. of Organ., Tianjin Univ. of Technol., Tianjin, China
  • Volume
    2
  • fYear
    2011
  • fDate
    10-12 June 2011
  • Firstpage
    85
  • Lastpage
    89
  • Abstract
    Power electronic devices, power semiconductor devices and control circuits most were vulnerable to failure. In this paper, took the inverter as example, discussed its fault type, and designed a new fault detection algorithm based on singular value decomposition (SVD) nonlinear filtering. Simulation result shown that this algorithm could detect fault conveniently, and using extended Kalman Filter (EKF) based on singular value decomposition (SVD), stability of filter could be evaluated, at the same time, calculated amount was not increase, and filter precision was not decrease. This algorithm could meet the need of fault detection.
  • Keywords
    Kalman filters; fault diagnosis; invertors; nonlinear filters; power engineering computing; power semiconductor devices; singular value decomposition; SVD; control circuits; extended Kalman Filter; fault detection algorithm; inverter; nonlinear filtering; power electronic devices; power semiconductor devices; singular value decomposition; stability; Circuit faults; Covariance matrix; Fault detection; Fault diagnosis; Inverters; Singular value decomposition; extended Kalman Filter; fault detection; singular value decomposition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Automation Engineering (CSAE), 2011 IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-8727-1
  • Type

    conf

  • DOI
    10.1109/CSAE.2011.5952428
  • Filename
    5952428