• DocumentCode
    2056349
  • Title

    Fault detection using ANN for Three-level NPC Inverter fed induction motor drive

  • Author

    Lee, Hong Hee ; Dzung, Phan Quoc ; Hoa, Truong Phuoc ; Phuong, Le Minh ; Bac, Nguyen Xuan

  • Author_Institution
    Sch. of Electr. Eng., Univ. of Ulsan, Ulsan, South Korea
  • fYear
    2010
  • fDate
    21-24 Nov. 2010
  • Firstpage
    2148
  • Lastpage
    2153
  • Abstract
    This paper is to present the investigation of ANN for fault detection Three-level Neutral Point Clamped (NPC) Inverter fed induction motor drive. Such detection requires only motor currents and DC-link current to be measured for detecting and identifying the power switch in which the open circuit fault or short circuit fault has occurred. Furthermore, a diagnosis controller using ANN for real-time fault detection of power switches is suggested. A computer simulation program is developed using Matlab/Simulink together with the Neural Network Toolbox for training the ANN-controller. This method has been validated experimentally using kit ACE 1104 (DSPACE).
  • Keywords
    PWM invertors; fault diagnosis; induction motor drives; machine control; neurocontrollers; ACE 1104; ANN; DC-link current; Matlab; Simulink; artificial neural network; diagnosis controller; fault detection; inverter fed induction motor drive; motor current; neutral point clamped; open circuit fault; power switch; pulse width modulation; short circuit fault; three-level NPC; Artificial Neural Network; Pulse-Width-Modulation; Three-level NPC Inverter; diagnosis; open circuit fault; short circuit fault;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON 2010 - 2010 IEEE Region 10 Conference
  • Conference_Location
    Fukuoka
  • ISSN
    pending
  • Print_ISBN
    978-1-4244-6889-8
  • Type

    conf

  • DOI
    10.1109/TENCON.2010.5686753
  • Filename
    5686753