• DocumentCode
    3438491
  • Title

    Electric fault detection for vector-controlled induction motors using the discrete wavelet transform

  • Author

    Chen, Chao-Ming ; Loparo, Kenneth A.

  • Author_Institution
    Dept. of Syst. & Control Eng., Case Western Reserve Univ., Cleveland, OH, USA
  • Volume
    6
  • fYear
    1998
  • fDate
    21-26 Jun 1998
  • Firstpage
    3297
  • Abstract
    Focuses on the detection of electrical faults in vector-controlled induction motor systems. Systems controlled by a robust mechanism, such as vector control, have an increased ability to adapt to changes in system parameters and reject disturbances. Therefore, if there are faults in the system they may be difficult to detect. The controller tends to compensate for the faults and minimize their impact on the system outputs. A fault detection algorithm based on the discrete wavelet transform is developed. The algorithm computes a “fault index” for stator winding faults such that fault signature and the fault degree can be determined in a clear manner
  • Keywords
    digital simulation; electric machine analysis computing; electrical faults; fault diagnosis; induction motors; stators; wavelet transforms; discrete wavelet transform; disturbances rejection; electric fault detection; fault degree; fault index; fault signature; robust mechanism; stator winding faults; vector-controlled induction motors; Control systems; Discrete wavelet transforms; Electrical fault detection; Frequency; Inductance; Induction motors; Machine vector control; Signal processing algorithms; Stator windings; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 1998. Proceedings of the 1998
  • Conference_Location
    Philadelphia, PA
  • ISSN
    0743-1619
  • Print_ISBN
    0-7803-4530-4
  • Type

    conf

  • DOI
    10.1109/ACC.1998.703184
  • Filename
    703184