• DocumentCode
    2858232
  • Title

    Open circuit fault diagnosis for the power electronic converter stages using ANFIS algorithm

  • Author

    Kamel, Tamer ; Biletskiy, Yevgen ; Liuchen Chang

  • Author_Institution
    Univ. of New Brunswick, Fredericton, NB, Canada
  • fYear
    2015
  • fDate
    3-6 May 2015
  • Firstpage
    656
  • Lastpage
    662
  • Abstract
    This paper demonstrates a fault detection and location for the open circuit (O.C) faults in the all power electronic converter stages including; the three-phase rectifier, the dc-dc converter, and finally the single-phase inverter. The proposed fault diagnosis is based on the adaptive neuro-fuzzy inference system (ANFIS) algorithm. The inputs to the ANFIS unit are the voltage and the current measurements of the power converter stages after they undergo several signal processing operations so that they could efficiently reflect the fault occurrence and behavior. The output of the ANFIS unit is utilized as an index in order to identify the O.C fault in the power converter. Then, it locates the fault within the three different stages of the converter.
  • Keywords
    DC-DC power convertors; electric current measurement; fault diagnosis; inference mechanisms; power electronics; power engineering computing; reliability; signal processing; voltage measurement; ANFIS algorithm; ANFIS unit; adaptive neuro-fuzzy inference system algorithm; dc-dc converter; open circuit fault diagnosis; power electronic converter; signal processing; single-phase inverter; three-phase rectifier; Choppers (circuits); Circuit faults; Fault diagnosis; Inverters; Rectifiers; Voltage measurement; Fast Fourier Transform FFT; Neuro-Fuzzy Inference System ANFIS; Open Circuit Faults; Power Electronic Converters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering (CCECE), 2015 IEEE 28th Canadian Conference on
  • Conference_Location
    Halifax, NS
  • ISSN
    0840-7789
  • Print_ISBN
    978-1-4799-5827-6
  • Type

    conf

  • DOI
    10.1109/CCECE.2015.7129352
  • Filename
    7129352